Specificity of Bionoise

Glossary Bio
Acronyms Bio

                                              NOISE in BIOSYSTEMS

"Biological noise is the term biology uses for chaos. It is chaos that

 drives the evolution of our genes, the average genome changing

 a hundred times the rate predicted by evolutionary theory."

(Motoo Kimura)

  1. Wan Yihan, Larson Daniel R.: Splicing heterogeneity: separating signal from noise. Genome Biology, Vol. 19, 2018, Article # 86. DOI 10.1186/s13059-018-1467-4

  2. Claridge Kirsten, Padula Daniele, Troisi Alessandro: How fine-tuned for energy transfer is the environmental noise produced by proteins around biological chromophores? Physical Chemistry Chemical Physics, Vol. 20, no. 25, 2018, pp. 17279 – 17288. DOI 10.1039/c8cp02613k

  3. Garcia C.A., Otero A., Felix Paulo, et al.: Simultaneous estimation of deterministic and fractal stochastic components in non-stationary time series. Physica D: Nonlinear Phenomena, Vol. 374, 2018, pp. 45 – 57. DOI 10.1016/j.physd.2018.04.002

  4. Simon C.S., Hadjantonakis A.-K., Schroeter C.: Making lineage decisions with biological noise: Lessons from the early mouse embryo. Wiley Interdisciplinary Reviews - Developmental Biology, Vol. 7, no. 4, 2018, Article # e319. DOI 10.1002/wdev.319

  5. Meyer Immanuel, Shnerb Nadav M.: Noise-induced stabilization and fixation in fluctuating environment. Scientific Reports, Vol. 8, 2018, Article # 9726. DOI 10.1038/s41598-018-27982-1

  6. Danino Matan, Kessler D.A., Shnerb N.M.: Environmental Stochasticity and the Speed of Evolution. Journal of Statistical Physics, Vol. 172, no. 1, Special no. SI, 2018, pp. 126 – 142. DOI 10.1007/s10955-018-1990-4

  7. Wang Guanyu, Peskin Charles S.: Entrainment of a cellular circadian oscillator by light in the presence of molecular noise. Physical Review E, Vol. 97, no. 6, 2018, Article # 062416. DOI 10.1103/PhysRevE.97.062416

  8. Laurenti Luca, Csikasz-Nagy Attila, Kwiatkowska Marta, et al.: Molecular Filters for Noise Reduction. Biophysical Journal, Vol. 114, no. 12, 2018, pp. 3000 – 3011. DOI 10.1016/j.bpj.2018.05.009

  9. Hansen Maike M.K., Wen Winnie Y., Ingerman Elena, et al.: A Post-Transcriptional Feedback Mechanism for Noise Suppression and Fate Stabilization. CELL, Vol. 173, no. 7, 2018, pp. 1609 – 1621.e15. DOI 10.1016/j.cell.2018.04.005

  10. Collini Maddalena, Bouzin Margaux, Chirico Giuseppe: Out of the Randomness: Correlating Noise in Biological Systems. Biophysical Journal, Vol. 114, no. 10, 2018, pp. 2298 – 2307. DOI 10.1016/j.bpj.2018.01.034

  11. Lozoya O.A., Santos J.H., Woychik R.P.: A Leveraged Signal-to-Noise Ratio (LSTNR) Method to Extract Differentially Expressed Genes and Multivariate Patterns of Expression From Noisy and Low-Replication RNAseq Data. Frontiers in Genetics, Vol. 9, 2018, Article # 176. DOI 10.3389/fgene.2018.00176

  12. Keskin Sevdenur, Devakanmalai Gnanapackiam S., Bin Kwon Soo, et al.: Noise in the Vertebrate Segmentation Clock Is Boosted by Time Delays but Tamed by Notch Signaling. Cell Reports, Vol. 23, no. 7, 2018, pp. 2175 – 2185. DOI 10.1016/j.celrep.2018.04.069

  13. Sardanyes Josep, Arderiu Andreu, Elena Santiago F., et al.: Noise-induced bistability in the quasi-neutral coexistence of viral RNAs under different replication modes. Journal of the Royal Society Interface, Vol. 15, no. 142, 2018, Article # 20180129. DOI 10.1098/rsif.2018.0129

  14. Opfer R., Ostwaldt A.-C., Walker-Egger C., et al.: Within-patient fluctuation of brain volume estimates from short-term repeated MRI measurements using SIENA/FSL. Journal of Neurology, Vol. 265, no. 5, 2018, pp. 1158 – 1165. DOI 10.1007/s00415-018-8825-8

  15. Abayzeed S.A., Smith R.J., See Chung W., et al.: Analysis of noise in differential and ratiometric biosensing systems. Sensors and Actuators B - Chemical, Vol. 260, 2018, pp. 1059 – 1067. DOI 10.1016/j.snb.2018.01.004

  16. Duso Lorenzo, Zechner Christoph: Selected-node stochastic simulation algorithm. Journal of Chemical Physics, Vol. 148, no. 16, 2018, Article # 164108. DOI 10.1063/1.5021242

  17. Holloway David M.: Experimental and Modeling Approaches for Understanding the Effect of Gene Expression Noise in Biological Development. Frontiers of Physics, Vol. 6, 2018, Article # 36. DOI 10.3389/fphy.2018.00036

  18. Chu Dominique: Performance limits and trade-offs in entropy-driven biochemical computers. Journal of Theoretical Biology, Vol. 443, 2018, pp. 1 – 9. DOI 10.1016/j.jtbi.2018.01.022

  19. Fei Chenyi, Cao Yuansheng, Ouyang Qi, et al.: Design principles for enhancing phase sensitivity and suppressing phase fluctuations simultaneously in biochemical oscillatory systems. Nature Communications, Vol. 9, 2018, Article # 1434. DOI 10.1038/s41467-018-03826-4

  20. Blum Walter, Henzi Thomas, Schwaller Beat, et al.: Biological noise and positional effects influence cell stemness. Journal of Biological Chemistry, Vol. 293, no. 14, 2018, pp. 5247 – 5258. DOI 10.1074/jbc.RA117.001643

  21. Guo Qin, Sun Zhongkui, Xu Wei: Stochastic Bifurcations in a Birhythmic Biological Model with Time-Delayed Feedbacks. Int. J. of Bifurcation & Chaos, Vol. 28, no. 4, 2018, Article # 1850048. DOI 10.1142/S0218127418500487

  22. Amir Ariel, Balaban Nathalie Q.: Learning from Noise: How Observing Stochasticity May Aid Microbiology. Trends in Microbiology, Vol. 26, no. 4, 2018, pp. 376 – 385. DOI 10.1016/j.tim.2018.02.003

  23. Joerg David J., Morelli Luis G., Juelicher Frank: Chemical event chain model of coupled genetic oscillators. Physical Review E, Vol. 97, no. 3, 2018, Article # 032409. DOI 10.1103/PhysRevE.97.032409

  24. Kargovsky A.V., Chikishev A. Yu., Chichigina O.A.: Effect of multiplicative noise on stationary stochastic process. Physical Review E, Vol. 97, no. 3, 2018, Article # 032112. DOI 10.1103/PhysRevE.97.032112

  25. Herath Narmada, Del Vecchio Domitilla: Reduced linear noise approximation for biochemical reaction networks with time-scale separation: The stochastic tQSSA. Journal of Chemical Physics, Vol. 148, no. 9, 2018, Article # 094108. DOI 10.1063/1.5012752

  26. Potocnik A., Bargerbos A., Schroder Florian A.Y.N., et al.: Studying light-harvesting models with superconducting circuits. Nature Communications, Vol. 9, 2018, Article # 904. DOI 10.1038/s41467-018-03312-x

  27. Bertaux Francois, Marguerat Samuel, Shahrezaei Vahid: Division rate, cell size and proteome allocation: impact on gene expression noise and implications for the dynamics of genetic circuits. Royal Society Open Science, Vol. 5, no. 3, 2018, Article # 172234. DOI 10.1098/rsos.172234

  28. Aghababaiyan Keyvan, Shah-Mansouri Vahid , Maham Behrouz: Axonal Channel Capacity in Neuro-Spike Communication. IEEE Trans on Nanobioscience, Vol. 17, no. 1, 2018, pp. 78 – 87. DOI 10.1109/TNB.2018.2800899

  29. Wang Kang-Kang, Ju Lin, Wang Ya-Jun, et al.: Impact of colored cross-correlated non-Gaussian and Gaussian noises on stochastic resonance and stochastic stability for a metapopulation system driven by a multiplicative signal. Chaos Solitons & Fractals, Vol. 108, 2018, pp. 166 – 181. DOI 10.1016/j.chaos.2018.02.004

  30. Xie Qingshuang, Wang Tonghuan, Zeng Chunhua, et al.: Predicting fluctuations-caused regime shifts in a time delayed dynamics of an invading species. Physica A: Statistical Mechanics and its Applications, Vol. 493, 2018, pp. 69 – 83. DOI 10.1016/j.physa.2017.10.036

  31. Almaguer F-Javier, Gonzalez Amezcua Omar, Morales-Castillo Javier, et al.: Riemann and Weierstrass walks revisited. Applied Mathematics and Computation, Vol. 319, 2018, pp. 518 – 526. DOI 10.1016/j.amc.2017.05.048

  32. Vo Hong Thanh, Marchetti Luca, Reali Federico, et al.: Incorporating extrinsic noise into the stochastic simulation of biochemical reactions: A comparison of approaches. Journal of Chemical Physics, Vol. 148, no. 6, 2018, Article # 064111. DOI 10.1063/1.5016338

  33. Maly P., Gardiner A.T., Cogdell R.J., et al.: Robust light harvesting by a noisy antenna. Physical Chemistry Chemical Physics, Vol. 20, no. 6, 2018, pp. 4360 – 4372. DOI 10.1039/c7cp06139k

  34. Ikemoto Shuhei, DallaLibera Fabio, Hosoda Koh: Noise-modulated neural networks as an application of stochastic resonance. Neurocomputing, Vol. 277, Special no. SI, 2018, pp. 29 – 37. DOI 10.1016/j.neucom.2016.12.111

  35. Dobramysl U., Mobilia M., Pleimling M., et al.: Stochastic population dynamics in spatially extended predator-prey systems. Journal of Physics A: Mathematical and Theoretical, Vol. 51, no. 6, 2018, Article # 063001. DOI 10.1088/1751-8121/aa95c7

  36. Le Nagard L., Barkley S., Zhu Xiaohui, et al.: Measuring the Effective Temperature of Single Magnetotactic Bacteria as a Tool to Study Non-Thermal Biological Noise. 62nd Annual Meeting of the Biophysical-Society, Biophysical Journal, Vol. 114, no. 3, Supplement: 1, 2018, pp. 328A – 329A. DOI 10.1016/j.bpj.2017.11.1841

  37. Fatehi Farzad, Kyrychko Sergey N., Ross Aleksandra, et al.: Stochastic Effects in Autoimmune Dynamics. Frontiers in Physiology, Vol. 9, 2018, Article # 45. DOI 10.3389/fphys.2018.00045

  38. Wang Kang-Kang, Ju Lin, Wang Ya-Jun, et al.: Colored Gaussian noises induced stochastic resonance and stability transition for an insect growth system driven by a multiplicative periodic signal. Chinese Journal of Physics, Vol. 56, no. 1, 2018, pp. 96 – 107. DOI 10.1016/j.cjph.2017.12.006

  39. Fimmel Elena, Struengmann Lutz: Mathematical fundamentals for the noise immunity of the genetic code. Biosystems, Vol. 164, Special no. SI, 2018, pp. 186 – 198. DOI 10.1016/j.biosystems.2017.09.007

  40. Li Chunhe: Landscape of gene networks for random parameter perturbation. Integrative Biology, Vol. 10, no. 2, 2018, pp. 92 – 99. DOI 10.1039/c7ib00198c

  41. Park Seong Jun, Song Sanggeun, Yang Gil-Suk, et al.: The Chemical Fluctuation Theorem governing gene expression. Nature Communications, Vol. 9, 2018, Article # 297. DOI 10.1038/s41467-017-02737-0

  42. Mendive-Tapia D., Mangaud E., Firmino T., et al.: Multidimensional Quantum Mechanical Modeling of Electron Transfer and Electronic Coherence in Plant Cryptochromes: The Role of Initial Bath Conditions. Journal of Physical Chemistry B, Vol. 122, no. 1, 2018, pp. 126 – 136. DOI 10.1021/acs.jpcb.7b10412

  43. Lueck A., Klimmasch L., Grossmann P., et al.: Computational Investigation of Environment-Noise Interaction in Single-Cell Organisms: The Merit of Expression Stochasticity Depends on the Quality of Environmental Fluctuations. Scientific Reports, Vol. 8, 2018, Article # 333. DOI 10.1038/s41598-017-17441-8

  44. Blum C.F., Heramvand N., Khonsari A.S., et al.: Experimental noise cutoff boosts inferability of transcriptional networks in large-scale gene-deletion studies. Nature Communications, Vol. 9, 2018, Article # 133. DOI 10.1038/s41467-017-02489-x

  45. Gold N., Frasch M.G., Herry C.L., et al.: A Doubly Stochastic Change Point Detection Algorithm for Noisy Biological Signals. Frontiers in Physiology, Vol. 8, 2018, Article # 1112. DOI 10.3389/fphys.2017.01112

  46. Rooman Marianne, Pucci Fabrizio: Intrinsic noise modulation in closed oligomerization-type systems. 9th Vienna Int. Conf. on Mathematical Modelling (MATHMOD), IFAC PAPERSONLINE, Vol. 51, no. 2, 2018, pp. 649 – 654. DOI 10.1016/j.ifacol.2018.03.110

  47. Sheet Sougata, Ghosh Anupam, Mandal Sudhindu Bikash: Selection of Genes Mediating Human Leukemia, Using Boltzmann Machine. 10th Int. Conf. on Advanced Computing and Communication Technologies (ICACCT), Book Series: Advances in Intelligent Systems and Computing, Vol. 562, 2018, pp. 83 – 90. DOI 10.1007/978-981-10-4603-2_9

  48. Kaneko Kunihiko, Furusawa Chikara: Macroscopic Theory for Evolving Biological Systems Akin to Thermodynamics. Book Series: Annual Review of Biophysics, Vol. 47, 2018, pp. 273 – 290. DOI 10.1146/annurev-biophys-070317-033155

  49. Honkonen Juha: Fractional Stochastic Field Theory. 9th Int. Conf. on Mathematical Modeling and Computational Physics (MMCP), Book Series: EPJ Web of Conferences, Vol. 173, 2018, Article # UNSP 01005. DOI 10.1051/epjconf/201817301005

  50. Agjee Na'eem Hoosen, Mutanga Onisimo, Peerbhay Kabir, et al.: The Impact of Simulated Spectral Noise on Random Forest and Oblique Random Forest Classification Performance. Journal of Spectroscopy, 2018, Article # 8316918. DOI 10.1155/2018/8316918

  51. Engel M., Longden J., Ferkinghoff-Borg J., et al.: Bowhead: Bayesian modelling of cell velocity during concerted cell migration. PLoS Computational Biology, Vol. 14, no. 1, 2018, Article # e1005900. DOI 10.1371/journal.pcbi.1005900

  52. Kumar Ashwin B.R., Ramaswamy Ram: Chemistry at the Nanoscale When Every Reaction is a Discrete Event. Resonance - Journal of Science Education, Vol. 23, no. 1, 2018, pp. 23 – 40. DOI 10.1007/s12045-018-0592-4

  53. Olczak Andrzej, Cianci Michele: The signal-to-noise ratio in SAD experiments. Crystallography Reviews, Vol. 24, no. 2, 2018, pp. 73 – 101. DOI 10.1080/0889311X.2017.1386182

  54. Barroso Gustavo Valadares, Puzovic Natasa, Dutheil Julien Y.: The Evolution of Gene-Specific Transcriptional Noise Is Driven by Selection at the Pathway Level. Genetics, Vol. 208, no. 1, 2018, pp. 173 – 189. DOI 10.1534/genetics.117.300457

  55. Ruziska Flavia M., Arashiro Everaldo, Tome Tania: Stochastic dynamics for two biological species and ecological niches. Physica A: Statistical Mechanics and its Applications, Vol. 489, 2018, pp. 56 – 64. DOI 10.1016/j.physa.2017.07.016

  56. Tareen Ammar, Wingreen Ned S., Mukhopadhyay Ranjan: Modeling evolution of crosstalk in noisy signal transduction networks. Physical Review E, Vol. 97, no. 2, 2018, Article # 020402. DOI 10.1103/PhysRevE.97.020402

  57. Kim Sang-Yoon, Lim Woochang: Stochastic spike synchronization in a small-world neural network with spike-timing-dependent plasticity. Neural Networks, Vol. 97, 2018, pp. 92 – 106. DOI 10.1016/j.neunet.2017.09.016

  58. Zhan Feibiao, Liu Shenquan: Response of Electrical Activity in an Improved Neuron Model under Electromagnetic Radiation and Noise. Frontiers in Computational Neuroscience, Vol. 11, 2017, Article # 107. DOI 10.3389/fncom.2017.00107

  59. Keegstra J.M., Kamino K., Anquez F., et al.: Phenotypic diversity and temporal variability in a bacterial signaling network revealed by single-cell FRET. eLife, Vol. 6, 2017, Article # e27455. DOI 10.7554/eLife.27455

  60. Yonekura Shogo, Kuniyoshi Yasuo: Bodily motion fluctuation improves reaching success rate in a neurophysical agent via geometric-stochastic resonance. PLoS One, Vol. 12, no. 12, 2017, Article # e0188298. DOI 10.1371/journal.pone.0188298

  61. Yan Ching-Cher Sanders, Chepyala Surendhar Reddy, Yen Chao-Ming, et al.: Efficient and flexible implementation of Langevin simulation for gene burst production. Scientific Reports, Vol. 7, 2017, Article # 16851. DOI 10.1038/s41598-017-16835-y

  62. Shi Changhong, Wang Shuqiang, Ruan Honglian: Effect of post-transcriptional feedback on the stochastic effect in gene expression. Chinese Journal of Physics, Vol. 55, no. 6, 2017, pp. 2491 – 2500. DOI 10.1016/j.cjph.2017.10.006

  63. Kannan R., Latha G., Devi M. Prashanthi: Circadian Rhythm of Ambient Noise Off the Southeast Coast of India. Fluct. & Noise Lett., Vol. 16, no. 4, 2017, Article # 1750037. DOI 10.1142/S0219477517500377

  64. Bose Indrani, Pal Mainak: Criticality in cell differentiation. Journal of Biosciences, Vol. 42, no. 4, 2017, pp. 683 – 693. DOI 10.1007/s12038-017-9721-6

  65. Milotti E., Vyshemirsky V., Stella S., et al.: Analysis of the fluctuations of the tumour/host interface. Physica A: Statistical Mechanics and its Applications, Vol. 486, 2017, pp. 587 – 594. DOI 10.1016/j.physa.2017.06.005

  66. Erneux T., Javaloyes J., Wolfrum M., et al.: Introduction to Focus no. Time-delay dynamics. Chaos, Vol. 27, no. 11, 2017, Article # 114201. DOI 10.1063/1.5011354

  67. Meinecke Lina: Multiscale Modeling of Diffusion in a Crowded Environment. Bulletin of Mathematical Biology, Vol. 79, no. 11, 2017, pp. 2672 – 2695. DOI 10.1007/s11538-017-0346-6

  68. Chen Minyu, Yu Lin, Zhang Yixin: Signal/noise ratio of orbital angular momentum modes for a partially coherent modified Bessel-correlated beam in a biological tissue. Journal of the Optical Society of America A - Optics Image Science & Vision, Vol. 34, no. 11, 2017, pp. 2046 – 2051. DOI 10.1364/JOSAA.34.002046

  69. Endres Robert G.: Entropy production selects nonequilibrium states in multistable systems. Scientific Reports, Vol. 7, 2017, Article # 14437. DOI 10.1038/s41598-017-14485-8

  70. Morchain Jerome, Pigou Maxime, Lebaz Noureddine: A population balance model for bioreactors combining interdivision time distributions and micromixing concepts. Biochemical Engineering Journal, Vol. 126, 2017, pp. 135 – 145. DOI 10.1016/j.bej.2016.09.005

  71. Herrerias-Azcue Francisco, Galla Tobias: The effects of heterogeneity on stochastic cycles in epidemics. Scientific Reports, Vol. 7, 2017, Article # 13008. DOI 10.1038/s41598-017-12606-x

  72. Razooky Brandon S., Cao Youfang, Hansen Maike M.K., et al.: Nonlatching positive feedback enables robust bimodality by decoupling expression noise from the mean. PLoS Biology, Vol. 15, no. 10, 2017, Article # e2000841. DOI 10.1371/journal.pbio.2000841

  73. Fan Yongqiang, Evans Christopher R., Barber Karl W., et al.: Heterogeneity of Stop Codon Readthrough in Single Bacterial Cells and Implications for Population Fitness. Molecular Cell, Vol. 67, no. 5, 2017, pp. 826 – 836. DOI 10.1016/j.molcel.2017.07.010

  74. Moleiro L.H., Mell M., Bocanegra R., et al.: Permeability modes in fluctuating lipid membranes with DNA-translocating pores. Advances in Colloid and Interface Science, Vol. 247, 2017, pp. 543 – 554. DOI 10.1016/j.cis.2017.07.009

  75. Chavis Amy E., Brady Kyle T., Hatmaker Grace A., et al.: Single Molecule Nanopore Spectrometry for Peptide Detection. ACS Sensors, Vol. 2, no. 9, 2017, pp. 1319 – 1328. DOI 10.1021/acssensors.7b00362

  76. Yamada Mitsuhiro: 1/f Noise in the Simple Genetic Algorithm Applied to a Traveling Salesman Problem. Fluct. & Noise Lett., Vol. 16, no. 3, 2017, Article # 1750026. DOI 10.1142/S0219477517500262

  77. Lee Alpha A., Vella Dominic, Wettlaufer John S.: Fluctuation spectra and force generation in nonequilibrium systems. PNAS, Vol. 114, no. 35, 2017, pp. 9255 – 9260. DOI 10.1073/pnas.1701739114

  78. Kilinc Deniz, Demir Alper: Noise in Neuronal and Electronic Circuits: A General Modeling Framework and Non-Monte Carlo Simulation Techniques. IEEE Trans on Biomedical Circuits and Systems, Vol. 11, no. 4, 2017, pp. 958 – 974. DOI 10.1109/TBCAS.2017.2679039

  79. Nagy Zoltan, Mukli Peter, Herman Peter, et al.: Decomposing Multifractal Crossovers. Frontiers in Physiology, Vol. 8, 2017, Article # 533. DOI 10.3389/fphys.2017.00533

  80. Samanta Himadri S., Hinczewski Michael, Thirumalai D.: Optimal information transfer in enzymatic networks: A field theoretic formulation. Physical Review E, Vol. 96, no. 1, 2017, Article # 012406. DOI 10.1103/PhysRevE.96.012406

  81. Pischel Dennis, Sundmacher Kai, Flassig Robert J.: Efficient simulation of intrinsic, extrinsic and external noise in biochemical systems. Bioinformatics, Vol. 33, no. 14, 2017, pp. I319 – I324. DOI 10.1093/bioinformatics/btx253

  82. Delvigne F., Baert J., Sassi H., et al.: Taking control over microbial populations: Current approaches for exploiting biological noise in bioprocesses. Biotechnology Journal, Vol. 12, no. 7, Special no. SI, 2017, Article # 1600549. DOI 10.1002/biot.201600549

  83. Bayati Basil S.: Quantifying uncertainty in the chemical master equation. Journal of Chemical Physics, Vol. 146, no. 24, 2017, Article # 244103. DOI 10.1063/1.4986762

  84. Meng X. Flora, Baetica Ania-Ariadna, Singhal Vipul, et al.: Recursively constructing analytic expressions for equilibrium distributions of stochastic biochemical reaction networks. Journal of the Royal Society Interface, Vol. 14, no. 130, 2017, Article # 20170157. DOI 10.1098/rsif.2017.0157

  85. Del Papa Bruno, Priesemann Viola, Triesch Jochen: Criticality meets learning: Criticality signatures in a self-organizing recurrent neural network. PLoS One, Vol. 12, no. 5, 2017, Article # e0178683. DOI 10.1371/journal.pone.0178683

  86. Ge Tian, Holmes Avram J., Buckner Randy L., et al.: Heritability analysis with repeat measurements and its application to resting-state functional connectivity. PNAS, Vol. 114, no. 21, 2017, pp. 5521 – 5526. DOI 10.1073/pnas.1700765114

  87. Harton Marie D., Batchelor Eric: Determining the Limitations and Benefits of Noise in Gene Regulation and Signal Transduction through Single Cell, Microscopy-Based Analysis. Journal of Molecular Biology, Vol. 429, no. 8, 2017, pp. 1143 – 1154. DOI 10.1016/j.jmb.2017.03.007

  88. Henningson Mans, Illes Sebastian: Analysis and Modeling of Subthreshold Neural Multi-Electrode Array Data by Statistical Field Theory. Frontiers in Computational Neuroscience, Vol. 11, 2017, Article # 26. DOI 10.3389/fncom.2017.00026

  89. Weber Markus F., Frey Erwin: Master equations and the theory of stochastic path integrals. Reports on Progress in Physics, Vol. 80, no. 4, 2017, Article # 046601. DOI 10.1088/1361-6633/aa5ae2

  90. Lengyel Ivan M., Morelli Luis G.: Multiple binding sites for transcriptional repressors can produce regular bursting and enhance noise suppression. Physical Review E, Vol. 95, no. 4, 2017, Article # 042412. DOI 10.1103/PhysRevE.95.042412

  91. Wu Fuqing, Su Ri-Qi, Lai Ying-Cheng, et al.: Engineering of asynthetic quadrastable gene network to approach Waddington landscape and cell fate determination. eLife, Vol. 6, 2017, Article # e23702. DOI 10.7554/eLife.23702

  92. Wu Fuqing, Su Ri-Qi, Lai Ying-Cheng, et al.: Engineering of asynthetic quadrastable gene network to approach Waddington landscape and cell fate determination. eLife, Vol. 6, 2017, Article # e23702. DOI 10.7554/eLife.23702

  93. Li Chung-Jung, Hong Tian, Tung Ying-Tsen, et al.: MicroRNA filters Hox temporal transcription noise to confer boundary formation in the spinal cord. Nature Communications, Vol. 8, 2017, Article # 14685. DOI 10.1038/ncomms14685

  94. Ludwig Anne K., Zhang Peng, Hastert Florian D., et al.: Binding of MBD proteins to DNA blocks Tet1 function thereby modulating transcriptional noise. Nucleic Acids Research, Vol. 45, no. 5, 2017, pp. 2438 – 2457. DOI 10.1093/nar/gkw1197

  95. Forment Marzo, Rodrigo Guillermo: Molecular noise can minimize the collective sensitivity of a clonal heterogeneous cell population. Journal of Theoretical Biology, Vol. 416, 2017, pp. 38 – 44. DOI 10.1016/j.jtbi.2016.12.023

  96. Cavagna Andrea, Giardina Irene, Jelic Asja, et al.: Nonsymmetric Interactions Trigger Collective Swings in Globally Ordered Systems. Physical Review Lett., Vol. 118, no. 13, 2017, Article # 138003. DOI 10.1103/PhysRevLett.118.138003

  97. Mano Tomoyuki, Delfau Jean-Baptiste, Iwasawa Junichiro, et al.: Optimal run-and-tumble-based transportation of a Janus particle with active steering. PNAS, Vol. 114, no. 13, 2017, pp. E2580 – E2589. DOI 10.1073/pnas.1616013114

  98. Schnoerr David, Sanguinetti Guido, Grima Ramon: Approximation and inference methods for stochastic biochemical kinetics - a tutorial review. Journal of Physics A: Mathematical and Theoretical, Vol. 50, no. 9, 2017, pp. 1 – 60, Article # 093001. DOI 10.1088/1751-8121/aa54d9

  99. Xu Ying, Ying Heping, Jia Ya, et al.: Autaptic regulation of electrical activities in neuron under electromagnetic induction. Scientific Reports, Vol. 7, 2017, Article # 43452. DOI 10.1038/srep43452

  100. Kapanova K.G., Dimov I., Sellier J.M.: A neural network sensitivity analysis in the presence of random fluctuations. Neurocomputing, Vol. 224, 2017, pp. 177 – 183. DOI 10.1016/j.neucom.2016.10.060

  101. Thanh Vo Hong, Zunino Roberto, Priami Corrado: Efficient stochastic simulation of biochemical reactions with noise and delays. Journal of Chemical Physics, Vol. 146, no. 8, 2017, Article # 084107. DOI 10.1063/1.4976703

  102. Maleki Farzaneh, Becskei Attila: An open-loop approach to calculate noise-induced transitions. Journal of Theoretical Biology, Vol. 415, 2017, pp. 145 – 157. DOI 10.1016/j.jtbi.2016.12.012

  103. Liu Peijiang, Wang Haohua, Huang Lifang, et al.: The dynamic mechanism of noisy signal decoding in gene regulation. Scientific Reports, Vol. 7, 2017, Article # 42128. DOI 10.1038/srep42128

  104. Wen Chenyu, Zeng Shuangshuang, Arstila Kai, et al.: Generalized Noise Study of Solid-State Nanopores at Low Frequencies. ACS Sensors, Vol. 2, no. 2, 2017, pp. 300 – 307. DOI 10.1021/acssensors.6b00826

  105. Yanagida Toshio, Ishii Yoshiharu: Single molecule detection, thermal fluctuation and life. Proc. of the Japan Academy Series B - Physical & Biological Sciences, Vol. 93, no. 2, 2017, pp. 51 – 63. DOI 10.2183/pjab.93.004

  106. Dal Co Alma, Lagomarsino Marco Cosentino, Caselle Michele, et al.: Stochastic timing in gene expression for simple regulatory strategies. Nucleic Acids Research, Vol. 45, no. 3, 2017, pp. 1069 – 1078. DOI 10.1093/nar/gkw1235

  107. Callan Akiko, Callan Daniel, Ando Hiroshi: The Importance of Spatiotemporal Information in Biological Motion Perception: White Noise Presented with a Step-like Motion Activates the Biological Motion Area. Journal of Cognitive Neuroscience, Vol. 29, no. 2, 2017, pp. 277 – 285. DOI 10.1162/jocn_a_01046

  108. Guner Hasan, Ozgur Erol, Kokturk Guzin, et al.: A smartphone based surface plasmon resonance imaging (SPRi) platform for on-site biodetection. Sensors and Actuators B - Chemical, Vol. 239, 2017, pp. 571 – 577. DOI 10.1016/j.snb.2016.08.061

  109. Yang Jian, Yang Tinghong, Wu Duzhi, et al.: The integration of weighted human gene association networks based on link prediction. BMC Systems Biology, Vol. 11, 2017, Article # 12. DOI 10.1186/s12918-017-0398-0

  110. Yuniati Anis, Mai Te-Lun, Chen Chi-Ming: Synchronization and Inter-Layer Interactions of Noise-Driven Neural Networks. Frontiers in Computational Neuroscience, Vol. 11, 2017, Article # 2. DOI 10.3389/fncom.2017.00002

  111. Yao Yuangen, Deng Haiyou, Ma Chengzhang, et al.: Impact of Bounded Noise and Rewiring on the Formation and Instability of Spiral Waves in a Small-World Network of Hodgkin-Huxley Neurons. PLoS One, Vol. 12, no. 1, 2017, Article # e0171273. DOI 10.1371/journal.pone.0171273

  112. Yonkeu R. Mbakob, Yamapi R., Filatrella G., et al.: Effects of a periodic drive and correlated noise on birhythmic van der Pol systems. Physica A: Statistical Mechanics and its Applications, Vol. 466, 2017, pp. 552 – 569. DOI 10.1016/j.physa.2016.09.012

  113. Kim Huisung, Jung Youngkee, Doh Iyll-Joon, et al.: Smartphone-based low light detection for bioluminescence application. Scientific Reports, Vol. 7, 2017, Article # 40203. DOI 10.1038/srep40203

  114. Zhang Malu, Qu Hong, Xie Xiurui, et al.: Supervised learning in spiking, neural networks with noise-threshold. Neurocomputing, Vol. 219, 2017, pp. 333 – 349. DOI 10.1016/j.neucom.2016.09.044

  115. Tung Po-Yuan, Blischak John D., Hsiao Chiaowen Joyce, et al.: Batch effects and the effective design of single-cell gene expression studies. Scientific Reports, Vol. 7, 2017, Article # 39921. DOI 10.1038/srep39921

  116. Wang Haixin, Aberra Dawit: Similarity Evaluation on Noisy Time Series Gene Expression Data using Particle Filter and Longest Common Subsequence. 13th Int. Conf. on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD), 2017, pp. 2054 – 2059. DOI 10.1109/FSKD.2017.8393086

  117. Gendrault Y., Madec M., Lallement C., et al.: A microelectronic approach to identifying and modeling biological noise. 15th IEEE Int. New Circuits and Systems Conference (NEWCAS), 2017, Book Series: IEEE Int. New Circuits and Systems Conference, pp. 181 – 184. DOI 10.1109/NEWCAS.2017.8010135

  118. Vazquez-Jimenez Aaron, Santillan Moises, Rodriguez-Gonzalez Jesus: How the extrinsic noise in gene expression can be controlled? 20th World Congress of the International-Federation-of-Automatic-Control (IFAC), IFAC PAPERSONLINE, Vol. 50, 2017, no. 1, pp. 15092 – 15096. DOI 10.1016/j.ifacol.2017.08.2236

  119. Smulko J., Wrobel M.S.: Noise sources in Raman spectroscopy of biological objects. Conf. on Dynamics and Fluctuations in Biomedical Photonics XIV, Book Series: Proceedings of SPIE, Vol. 10063, 2017, Article # UNSP 100630Q. DOI 10.1117/12.2254807

  120. Prati Enrico, Giussani Ernesto, Ferrari Giorgio, et al.: Noise-assisted transmission of spikes in Maeda-Makino artificial neuron arrays. Int. J. of Parallel Emergent and Distributed Systems, Vol. 32, no. 3, Special no. SI, 2017, pp. 278 – 286. DOI 10.1080/17445760.2016.1189914

  121. Wang Chunni, Guo Shengli, Xu Ying, et al.: Formation of Autapse Connected to Neuron and Its Biological Function. Complexity, 2017, Article # 5436737. DOI 10.1155/2017/5436737

  122. Hoze Nathanael, Holcman David: Statistical Methods for Large Ensembles of Super-Resolution Stochastic Single Particle Trajectories in Cell Biology. Annual Review of Statistics and Its Application, Vol. 4, 2017, pp. 189 – 223. DOI 10.1146/annurev-statistics-060116-054204

  123. Meng Xiang, Firczuk Helena, Pietroni Paola, et al.: Minimum-noise production of translation factor eIF4G maps to a mechanistically determined optimal rate control window for protein synthesis. Nucleic Acids Research, Vol. 45, no. 2, 2017, pp. 1015 – 1025. DOI 10.1093/nar/gkw1194

  124. Meng Xiang, Firczuk Helena, Pietroni Paola, et al.: Minimum-noise production of translation factor eIF4G maps to a mechanistically determined optimal rate control window for protein synthesis. Nucleic Acids Research, Vol. 45, no. 2, 2017, pp. 1015 – 1025. DOI 10.1093/nar/gkw1194

  125. Gui Rong, Liu Quan, Yao Yuangen, et al.: Noise Decomposition Principle in a Coherent Feed-Forward and Transcriptional Regulatory Loop. Frontiers in Physiology, Vol. 7, 2016, Article # 600. DOI 10.3389/fphys.2016.00600

  126. Lan Ganhui, Tu Yuhai: Information processing in bacteria: memory, computation, and statistical physics: a key issues review. Reports on Progress in Physics, Vol. 79, no. 5, 2016, Article # 052601. DOI 10.1088/0034-4885/79/5/052601

  127. Zechner Christoph, Seelig Georg, Rullan Marc, et al.: Molecular circuits for dynamic noise filtering. PNAS, Vol. 113, no. 17, 2016, pp. 4729 – 4734. DOI 10.1073/pnas.1517109113

  128. Roob Edward III, Trendel Nicola, ten Wolde Pieter Rein, et al.: Cooperative Clustering Digitizes Biochemical Signaling and Enhances its Fidelity. Biophysical Journal, Vol. 110, no. 7, 2016, pp. 1661 – 1669. DOI 10.1016/j.bpj.2016.02.031

  129. Shehu Abubakar, Mohammed Aliyu, Magaji Rabiu Abdussalam, et al.: Exposure to mobile phone electromagnetic field radiation, ringtone and vibration affects anxiety-like behaviour and oxidative stress biomarkers in albino wistar rats. Metabolic Brain Disease, Vol. 31, no. 2, 2016, pp. 355 – 362. DOI 10.1007/s11011-015-9758-x

  130. Cardelli Luca, Csikasz-Nagy Attila, Dalchau Neil, et al.: Noise Reduction in Complex Biological Switches. Scientific Reports, Vol. 6, 2016, Article # 20214. DOI 10.1038/srep20214

  131. Hilfinger Andreas, Norman Thomas M., Vinnicombe Glenn, et al.: Constraints on Fluctuations in Sparsely Characterized Biological Systems. Physical Review Lett., Vol. 116, no. 5, 2016, Article # 058101. DOI 10.1103/PhysRevLett.116.058101

  132. Briat Corentin, Gupta Ankit, Khammash Mustafa: Antithetic Integral Feedback Ensures Robust Perfect Adaptation in Noisy Biomolecular Networks. Cell Systems, Vol. 2, no. 1, 2016, pp. 15 – 26. DOI 10.1016/j.cels.2016.01.004

  133. Baro J.; Shyu P.; Pang Siyuan; et al.: Avalanche criticality during compression of porcine cortical bone of different ages. Physical Review E, Vol. 93, no. 5, 2016, Article # 053001 https://doi.org/10.1103/PhysRevE.93.053001

  134. Hayashi Kumiko, Hasegawa Shin, Tsunoda Satoshi P.: Giant enhancement of fluctuation in small biological systems under external fields. Journal of Statistical Mechanics - Theory & Experiment, 2016, Article # 054028. DOI 10.1088/1742-5468/2016/05/054028

  135. Seada Mervat A., Elkholy Samar E., Meshrif Wesam S.: Does the cellphone radio-frequency electromagnetic radiation during ringing or talking modes induce locomotor disturbance in Drosophila melanogaster? African Zoology, Vol. 51, no. 1, 2016, pp. 53 – 60. DOI 10.1080/15627020.2016.1151828

  136. Liu Chaoren, Beratan D.N., Zhang Peng: Coarse-Grained Theory of Biological Charge Transfer with Spatially and Temporally Correlated Noise. Journal of Physical Chemistry B, Vol. 120, no. 15, 2016, pp. 3624 – 3633. DOI 10.1021/acs.jpcb.6b01018

  137. Wang Dingjie, Jin Suoqin, Zou Xiufen: Crosstalk between pathways enhances the controllability of signalling networks. IET Systems Biology, Vol. 10, no. 1, 2016, pp. 2 – 9. DOI 10.1049/iet-syb.2014.0061

  138. Tegge A.N., Sharp N., Murali T.M.: XTALK: a path-based approach for identifying crosstalk between signaling pathways. Bioinformatics, Vol. 32, no. 2, 2016, pp. 242 – 251. DOI 10.1093/bioinformatics/btv549

  139. Zhao Xu, Zheng Wenhui, Zhong Zhenhui, et al.: Genome-wide analysis of RNA-interference pathway in Brassica napus, and the expression profile of BnAGOs in response to Sclerotinia sclerotiorum infection. European Journal of Plant Pathology, Vol. 146, no. 3, 2016, pp. 565 – 579. DOI 10.1007/s10658-016-0942-6

  140. Vian A., Davies E., Gendraud M., et al.: Plant Responses to High Frequency Electromagnetic Fields. Biomed Research Int., 2016, Article # 1830262. DOI 10.1155/2016/1830262

  141. Borri A., Palumbo P., Singh Abhyudai: Impact of negative feedback in metabolic noise propagation. IET Systems Biology, Vol. 10, no. 5, Special no. SI, 2016, pp. 179 – 186. DOI 10.1049/iet-syb.2016.0003

  142. Buchin A., Rieubland S., Hausser M., et al.: Inverse Stochastic Resonance in Cerebellar Purkinje Cells. PLoS Computational Biology, Vol. 12, no. 8, 2016, Article # e1005000. DOI 10.1371/journal.pcbi.1005000

  143. Soltani M., Vargas-Garcia C.A., Antunes D., et al.: Intercellular Variability in Protein Levels from Stochastic Expression and Noisy Cell Cycle Processes. PLoS Computational Biology, Vol. 12, no. 8, 2016, Article # e1004972. DOI 10.1371/journal.pcbi.1004972

  144. Perez-Carrasco R., Guerrero P., Briscoe J., et al.: Intrinsic Noise Profoundly Alters the Dynamics and Steady State of Morphogen-Controlled Bistable Genetic Switches. PLoS Computational Biology, Vol. 12, no. 10, 2016, Article # e1005154. DOI 10.1371/journal.pcbi.1005154

  145. Valenti D., Denaro G., Conversano F., et al.: The role of noise on the steady state distributions of phytoplankton populations. Journal of Statistical Mechanics - Theory & Experiment, 2016, Article # 054044. DOI 10.1088/1742-5468/2016/05/054044

  146. Brinkman B.A.W., Weber A.I., Rieke F., et al.: How Do Efficient Coding Strategies Depend on Origins of Noise in Neural Circuits? PLoS Computational Biology, Vol. 12, no. 10, 2016, Article # e1005150. DOI 10.1371/journal.pcbi.1005150

  147. Rodrigo G., Poyatos J.F.: Genetic Redundancies Enhance Information Transfer in Noisy Regulatory Circuits. PLoS Computational Biology, Vol. 12, no. 10, 2016, Article # e1005156. DOI 10.1371/journal.pcbi.1005156

  148. Buzi G., Khammash M.: Implementation Considerations, Not Topological Differences, Are the Main Determinants of Noise Suppression Properties in Feedback and Incoherent Feedforward Circuits. PLoS Computational Biology, Vol. 12, no. 6, 2016, Article # e1004958. DOI 10.1371/journal.pcbi.1004958

  149. Voliotis M., Thomas P., Grima R., et al.: Stochastic Simulation of Biomolecular Networks in Dynamic Environments. PLoS Computational Biology, Vol. 12, no. 6, 2016, Article # e1004923. DOI 10.1371/journal.pcbi.1004923

  150. Zechner C, Seelig G, Rullan M, et al.: Molecular circuits for dynamic noise filtering. Proc. of the National Acad. of Sciences of the USA, Vol. 113, no. 17, 2016, pp. 4729 – 4734. DOI 10.1073/pnas.1517109113

  151. Bandiera L, Pasini A., Pasotti L., et al.: Experimental measurements and mathematical modeling of biological noise arising from transcriptional and translational regulation of basic synthetic gene circuits. Journal of Theoretical Biology, Vol. 395, 2016, pp. 153 – 160. DOI 10.1016/j.jtbi.2016.02.004

  152. Bandiera Lucia: Effects of Transcriptional and Post-Transcriptional Control Mechanisms on Biological Noise in Synthetic Gene Circuits. Dissertation thesis, University of Bologna, Italy, 2016. DOI 10.6092/unibo/amsdottorato/7403

  153. Mugler A., Kittisopikul M., Hayden L., et al.: Noise Expands the Response Range of the Bacillus subtilis Competence Circuit. PLoS One, Vol. 11, no. 3, 2016, Article # e1004793. DOI 10.1371/journal.pcbi.1004793

  154. Guisoni N., Monteoliva D., Diambra L.: Promoters Architecture-Based Mechanism for Noise-Induced Oscillations in a Single-Gene Circuit. PLoS One, Vol. 11, no. 3, 2016, Article # e0151086. DOI 10.1371/journal.pone.0151086

  155. Szymanska A.F., Kobayashi Chiaki, Norimoto Hiroaki, et al.: Accurate detection of low signal-to-noise ratio neuronal calcium transient waves using a matched filter. Journal of Neuroscience Methods, Vol. 259, 2016, pp. 1 – 12. DOI 10.1016/j.jneumeth.2015.10.014

  156. Otero-Muras I., Banga J.R.: Design Principles of Biological Oscillators through Optimization: Forward and Reverse Analysis. PLoS One, Vol. 11, no. 12, 2016, Article # e0166867. DOI 10.1371/journal.pone.0166867

  157. Petoukhov S.V.J.: The system-resonance approach in modeling genetic structures. Biosystems, Vol. 139, 2016, pp. 1 – 11. DOI 10.1016/j.biosystems.2015.11.001

  158. Bayati Basil S.: Deterministic analysis of extrinsic and intrinsic noise in an epidemiological model. Physical Review E, Vol. 93, no. 5, 2016, pp. 2124 – 2124. DOI 10.1103/PhysRevE.93.052124

  159. Ohta T., Tarama M., Sano M.: Simple model of cell crawling. Physica D - Nonlinear Phenomena, Vol. 318, 2016, pp. 3 – 11. DOI 10.1016/j.physd.2015.10.007

  160. Orci K.M., Petroczki K., Barta Z.: Instantaneous song modification in response to fluctuating traffic noise in the tree cricket Oecanthus pellucens. Animal Behaviour, Vol. 112, 2016, pp. 187 – 194. DOI 10.1016/j.anbehay.2015.12.0013

  161. Mugler A., Levchenko A., Nemenman I.: Limits to the precision of gradient sensing with spatial communication and temporal integration. Proc. of the National Acad. of Sciences of the USA, Vol. 113, no. 6, 2016, pp. E689 – E695. DOI 10.1073/pnas.1509597112

  162. Mc Mahon Siobhan S., Lenive Oleg, Filippi Sarah, et al.: Information processing by simple molecular motifs and susceptibility to noise. Journal of the Royal Society Interface, Vol. 12, no. 110, 2015, Article # 20150597. DOI 10.1098/rsif.2015.0597

  163. Lei Xue, Tian Wei, Zhu Hongyuan, et al.: Biological Sources of Intrinsic and Extrinsic Noise in cI Expression of Lysogenic Phage Lambda. Scientific Reports, Vol. 5, 2015, Article # 13597. DOI 10.1038/srep13597

  164. Hoegele Michael, Pavlyukevich Ilya: Metastability in a class of hyperbolic dynamical systems perturbed by heavy-tailed Levy type noise. Stochastics and Dynamics, Vol. 15, no. 3, 2015, Article # 1550019. DOI 10.1142/S0219493715500197

  165. Racuciu M., Miclaus S., Creanga D.: On the thermal effect induced in tissue samples exposed to extremely low-frequency electromagnetic field. Journal of Environmental Health Science & Eng., Vol. 13, 2015, Article # 85. DOI 10.1186/s40201-015-0241-8

  166. Pereira Contzen: Electromagnetic Radiation, a Living Cell and the Soul: A Collated Hypothesis. Neuroquantology, Vol. 13, no. 4, 2015, pp. 426 – 438. ISSN 1303-5150

  167. Zalata A., El-Samanoudy A.Z., Shaalan D., et al.: In Vitro Effect of Cell Phone Radiation on Motility, DNA Fragmentation and Clusterin Gene Expression in Human Sperm. Int. J. of Fertility & Sterility, Vol. 9, no. 1, 2015, pp. 129 – 136. DOI 10.22074/ijfs.2015.4217

  168. Peterson J.R., Cole J.A., Fei Jingyi, et al.: Effects of DNA replication on mRNA noise. Proc. of the National Acad. of Sciences of the USA, Vol. 112, no. 52, 2015, pp. 15886 – 15891. DOI 10.1073/pnas.1516246112

  169. Jafarpour F., Biancalani T., Goldenfeld N.: Noise-Induced Mechanism for Biological Homochirality of Early Life Self-Replicators. Physical Review Lett., Vol. 115, no. 15, 2015, Article # 158101. DOI 10.1103/PhysRevLett.115.158101

  170. Jia Zheng-Lin, Mei Dong-Cheng: Noise-induced phenomena in the dynamics of groundwater-dependent plant ecosystems with time delay. Journal of Statistical Mechanics - Theory & Experiment, 2015, Article # P05034. DOI 10.1088/1742-5468/2015/05/P05034

  171. Kexin Liu, Henghui Zhu, Jinhu Lu: Bridging the Gap Between Transmission Noise and Sampled Data for Robust Consensus of Multi-Agent Systems. IEEE Trans on Circuits and Systems I: Regular Papers, Vol. 62, no. 7, 2015, pp.1836 – 1844. DOI 10.1109/TCSI.2015.2434101

  172. Rivnay J., Leleux P., Hama A., et al.: Using white noise to gate organic transistors for dynamic monitoring of cultured cell layers. Scientific Reports, Vol. 5, 2015, Article # 11613. DOI 10.1038/srep11613

  173. Djaidja S., Wu Qinghe: Leader-following consensus for single-integrator multi-agent systems with multiplicative noises in directed topologies. Int J. of Systems Science, Vol. 46, no. 15, 2015, pp. 2788 – 2798. DOI 10.1080/00207721.2013.879233

  174. Bhardwaj M., Carroll S., Ma W., Josić K.: Visual Decisions in the Presence of Measurement and Stimulus Correlations. Neural Computation, Vol. 27, no. 11, 2015, pp. 2318 – 2353. DOI 10.1162/NECO_a_00778

  175. Teo J.J.Y., Sung Sik Woo, Sarpeshkar R.: Synthetic Biology: A Unifying View and Review Using Analog Circuits. IEEE Trans. on Biomedical Circuits and Systems, Vol. 9, no. 4, 2015, pp. 453 – 474. DOI 10.1109/TBCAS.2015.2461446

  176. Sung Sik Woo, Kim J., Sarpeshkar R.: A Cytomorphic Chip for Quantitative Modeling of Fundamental Bio-Molecular Circuits. IEEE Trans. on Biomedical Circuits and Systems, Vol. 9, no. 4, 2015, pp. 527 – 542. DOI 10.1109/TBCAS.2015.2446431

  177. Zimmer C., Sahle S.: Deterministic inference for stochastic systems using multiple shooting and a linear noise approximation for the transition probabilities. IET Systems Biology, Vol. 9, no. 5, 2015, pp. 181 – 192. DOI 10.1049/iet-syb.2014.0020

  178. Voytek B., Kramer M.A., Case J., et al.: Age-Related Changes in 1/f Neural Electrophysiological Noise. Journal of Neuroscience, Vol. 35, no. 38, 2015, pp. 13257 – 13265. DOI 10.1523/JNEUROSCI.2332-14.2015

    Moffitt J.R., Bustamante C.: Extracting signal from noise: kinetic mechanisms from a Michaelis-Menten-like expression for enzymatic fluctuations. FEBS Journal, Vol. 281, no. 2, Special no. SI, 2014, pp. 498 – 517. DOI 10.1111/febs.12545

  179. Wang Haohua, Yuan Zhanjiang, Liu Peijiang, Zhou Tianshou: Division time-based amplifiers for stochastic gene expression. Molecular Biosystems, Vol. 11, no. 9, 2015, pp. 2417 – 2428. DOI 10.1039/c5mb00391a

  180. Nigmatullin R.R., Giniatullin R.A., Skorinkin A.I.: Membrane current series monitoring: essential reduction of data points to finite number of stable parameters. Frontiers in Computational Neuroscience, Vol. 8, 2014, Article # 120 (12 pages). DOI 10.3389/fncom.2014.00120

  181. Moffitt J.R., Bustamante C.: Extracting signal from noise: kinetic mechanisms from a Michaelis-Menten-like expression for enzymatic fluctuations. FEBS Journal, Vol. 281, no. 2, Special no. SI, 2014, pp. 498 – 517. DOI 10.1111/febs.12545

  182. Schulte M.B., Andino R.: Single-Cell Analysis Uncovers Extensive Biological Noise in Poliovirus Replication. Journal of Virology, Vol. 88, no. 11, 2014, pp. 6205 – 6212. DOI 10.1128/JVI.03539-13

  183. Hao Meng-Li, Xu Wei, Gu Xu-Dong, et al.: Effects of Levy noise and immune delay on the extinction behavior in a tumor growth model. Chinese Physics B, Vol. 23, no. 9, 2014, Article # 090501. DOI 10.1088/1674-1056/23/9/090501

  184. Lin Chunshui, Cai Zhixiong, Wang Yiru, et al.: Label-Free Fluorescence Strategy for Sensitive Detection of Adenosine Triphosphate Using a Loop DNA Probe with Low Background Noise. Analytical Chemistry, Vol. 86, no. 14, 2014, pp. 6758 – 6762. DOI 10.1021/ac501730u

  185. Ruocco G., Fratalocchi A.: Period doubling induced by thermal noise amplification in genetic circuits. Scientific Reports, Vol. 4, 2014, Article # 7088. DOI 10.1038/srep07088

  186. Lin Ying-Hsiu, Chang Wei-Lin, Hsieh Chia-Lung: Shot-noise limited localization of single 20 nm gold particles with nanometer spatial precision within microseconds. Optics Express, Vol. 22, no. 8, 2014, pp. 9159 – 9170. DOI 10.1364/OE.22.009159

  187. Pisarchik A.N., Jaimes-Reategui R., Magallon-Garcia C.D.A., Castillo-Morales C.O.: Critical slowing down and noise-induced intermittency in bistable preception: bifurcation analysis. Biological Cybernetics, Vol. 108, no. 4, 2014, pp. 397 – 404. DOI 10.1007/s00422-014-0607-5

  188. Richard M., Yvert G.: How does evolution tune biological noise? Frontiers in Genetics, Vol. 5, 2014, Article # 374. DOI 10.3389/fgene.2014.00374

  189. Jithinraj P.K., Roy U., Gopalakrishnan M.: Zero-order ultrasensitivity: A study of criticality and fluctuations under the total quasi-steady state approximation in the linear noise regime. Journal of Theoretical Biology, Vol. 344, 2014, pp. 1 – 11. DOI 10.1016/j.jtbi.2013.11.014

  190. Voliotis M., Perrett R.M., McWilliams C., et al.: Information transfer by leaky, heterogeneous, protein kinase signaling systems. Proc. of the National Acad. of Sciences of the USA, Vol. 111, no. 3, 2014, pp. E326 – E333. DOI 10.1073/pnas.1314446111

  191. Lang P.T., Holton J.M., Fraser J.S., et al.: Protein structural ensembles are revealed by redefining X-ray electron density noise. Proc. of the National Acad. of Sciences of the USA, Vol. 111, no. 1, 2014, pp. 237 – 242. DOI 10.1073/pnas.1302823110

  192. Yu Jin: Coordination and Control Inside Simple Biomolecular Machines. Edited by: Han K.L., Zhang X., Yang M.J.: Protein Conformational Dynamics, Book Series: Advances in Experimental Medicine and Biology, Vol. 805, 2014, pp. 353 – 384. DOI 10.1007/978-3-319-02970-2_15

  193. Korsunsky I., D. Ramazzotti, G. Caravagna, Bud Mishra: Inference of Cancer Progression Models with Biological Noise. 2014, arXiv:1408.6032 [stat.ML] 

  194. Rehm A. M., Scribner E. Y., Fathallah-Shaykh Hassan: Proper orthogonal decomposition for parameter estimation in oscillating biological networks. Journal of Computational and Applied Mathematics, Vol. 258, 2014, pp. 135 – 150. DOI 10.1016/j.cam.2013.09.004

  195. M. Assaf, M. Mobilia, E. Roberts: Cooperation dilemma in finite populations under fluctuating environments. Physical Review Lett., Vol. 111, no. 23, 2013, Article # 238101. DOI 10.1103/PhysRevLett.111.238101

  196. Chen W.-H., Chen B.-S.: Robust Stabilization Design for Stochastic Partial Differential Systems Under Spatio-temporal Disturbances and Sensor Measurement Noises. IEEE Trans on CAS I : Regular Papers, Vol. 60, no. 4, 2013, pp. 1013 – 1026. DOI 10.1109/TCSI.2012.2209296

  197. Sen M. Kumar, Ray Somrita, Baura Alendu, Bag Bidhan Chandra: Effect of multiplicative noise on the self-induced aggregation kinetics of Brownian particles. Chemical Physics Lett., Vol. 559, 2013, pp. 117 – 122. DOI 10.1016/j.cplett.2013.01.014

  198. Qi Ji, Zlotnik A., Li Jr-Shin: Optimal ensemble control of stochastic time-varying linear systems. Systems & Control Lett., Vol. 62, no. 11, 2013, pp. 1057 – 1064. DOI 10.1016/j.sysconle.2013.07.013

  199. Gregorio-Godoy P., Míguez D.G.: Synthetic approaches to study transcriptional networks and noise in mammalian systems. IET Systems Biology, Vol. 7, no. 1, 2013, pp. 11 – 17. DOI 10.1049/iet-syb.2012.0026

  200. Xu Yong, Feng Jing, Li JuanJuan, Zhang Huiqing: Stochastic bifurcation for a tumor-immune system with symmetric Levy noise. Physica A - Statistical Mechanics and its Applications, Vol. 392, no. 20, 2013, pp. 4739 – 4748. DOI 10.1016/j.physa.2013.06.010

  201. Bouaynaya N., Shterenberg R., Schonfeld D.: Optimal Perturbation Control of General Topology Molecular Networks. IEEE Trans on Signal Processing, Vol. 61, no. 7, 2013, pp. 1733 – 1742. DOI 10.1109/TSP.2013.2241054

  202. Vlajkovic S.M., Lin Shelly Ching-yu, Wong Ann Chi Yan, Wackrow B., Thorne P.R: Noise-induced changes in expression levels of NADPH oxidases in the cochlea. Hearing Research, Vol. 304, 2013, pp. 145 – 152. DOI 10.1016/j.heares.2013.07.012

  203. Wu Shinq-Jen, Wu Cheng-Tao, Chang Jyh-Yeong: Adaptive neural-based fuzzy modeling for biological systems. Mathematical Biosciences, Vol. 242, no. 2, 2013, pp. 153 – 160. DOI 10.1016/j.mbs.2013.01.004

  204. Sloutsky R., Jimenez N., Swamidass J., Naegle K. M.: Accounting for noise when clustering biological data. Briefings in Bioinformatics, 2013, Vol. 14, no. 4, pp. 423 – 436. DOI 10.1093/bib/bbs057

  205. Pisarchik A.N., O.N. Pochepen, L.A. Pisarchyk: Increasing blood glucose variability is a precursor of sepsis and mortality in burned patients. PLoS One, Vol. 7, no 10, 2012, Article # e46582. DOI 10.1371/journal.pone.0046582

  206. Karim Mohammad, G.T. Buzzard, D.M. Umulis: Secreted, receptor-associated bone morphogenetic protein regulators reduce stochastic noise intrinsic to many extracellular morphogen distributions. Journal of The Royal Society Interface, Vol. 9, no. 70, 2012, pp. 1073 – 1083. DOI 10.1098/rsif.2011.0547

  207. Nounou M.N., Nounou H.N., Meskin N., Datta A., Dougherty E.R.: Multiscale Denoising of Biological Data: A Comparative Analysis. IEEE/ACM Trans on Computational Biology and Bioinformatics, Vol. 9, no. 5, 2012, pp. 1539 – 1545. DOI 10.1109/TCBB.2012.67

  208. Wei Guo, Lu-Chun Du, Dong-Cheng Mei: Transitions induced by time delays and cross-correlated sine-Wiener noises in a tumor–immune system interplay. Physica A: Statistical Mechanics and its Applications, Vol. 391, no. 4, 2012, pp. 1270 – 1280. DOI 10.1016/j.physa.2011.11.007

  209. J.H. Shi, T.Q. Chen, R.S. Yuan, B. Yuan, P. Ao: Relation of a New Interpretation of Stochastic Differential Equations to Ito Process. J. Stat. Phys., Vol. 158, 2012, pp. 579 – 590.

  210. Yuan R.S., Ao P.: Beyond Ito vs. Stratonovich. J. of Statistical Mechanics: Theory and Experiment, Vol. 2012, 2012, Article # P07010, 20 pages. http://iopscience.iop.org/1742-5468/2012/07/P07010

  211. P. C Bressloff, Yi Ming Lai : Dispersal and noise: Various modes of synchrony in ecological oscillators. Journal of mathematical biology, 2012 DOI 10.1007/s00285-012-0607-9

  212. Pilpel Y.: Noise in biological systems: pros, cons, and mechanisms of control. Methods Molec. Biology, Vol. 759, Yeast Systems Biology: Methods and Protocols, Humana Press, Chapt. 23, 2011, pp. 407 – 425. DOI 10.1007/978-1-61779-173-4_23.

  213. Ideker T., Dutkowski J., Hood L .: Boosting Signal-to-Noise in Complex Biology: Prior Knowledge Is Power. Cell, Vol. 144, no 6, 2011 Mar 18, pp 860 – 863. DOI 10.1016/j.cell.2011.03.007

  214. R. Schiller, A. Horvath: Generalized Johnson-Nyquist noise: white noise of temperature and pressure at the nanoscale. Physical Chemistry Chemical Physics, Vol. 13, 2011, pp 9281 – 9284. DOI 10.1039/C0CP01482F

  215. Dari A., Bulsara A.R., Ditto W.L., Xiao Wang: Reprogrammable biological logic gate that exploits noise. IEEE Biomedical Circuits and Systems Conf. (BioCAS), 2011, pp. 337 – 340. DOI 10.1109/BioCAS.2011.6107796

  216. Duraisamy K., Dempsey K., Ali H., Bhowmick S.: A noise reducing sampling approach for uncovering critical properties in large scale biological networks. Int. Conf. on High Performance Computing and Simulation (HPCS), 2011, pp. 721 – 728. DOI 10.1109/HPCSim.2011.5999898

  217. Lestas I, Vinnicombe G, Paulsson J.: Fundamental limits on the suppression of molecular fluctuations. Nature 467, no 7312, 2010, pp 174 – 178. DOI 10.1038/nature09333

  218. J. Wu, Z. Qi, E.O. Voit: Investigation of delays and noise in dopamine signaling with hybrid functional Petri nets. In Silico Biology, SI: Petri Net Applications in Molecular Biology, Vol. 10, Article ID 0005, 2010.

  219. I. A. Martinez Sanchez: Biochemical noise in a single DNA molecule studied by optical trapping technique. Master Thesis, Universitat Politècnica de Catalunya, 2010.

  220. N. Pizzolato, A. Fiasconaro, B. Spagnolo: Noise driven translocation of short polymers in crowded solutions. J. Stat. Mech., 2009, P01011. DOI 10.1088/1742-5468/2009/01/P01011

  221. B. Lindner: Some unsolved problems relating to noise in biological systems. J. Stat. Mech., 2009, P01008. DOI 10.1088/1742-5468/2009/01/P01008

  222. E. Marras, E. Capobianco: Mining protein–protein interaction networks: denoising effects. J. Stat. Mech., 2009, P01006. DOI 10.1088/1742-5468/2009/01/P01006

  223. Spagnolo B., S. Spezia, L. Curcio, N. Pizzolato, A. Fiasconaro, D. Valenti, P. Lo Bue, E. Peri, S. Colazza: Noise effects in two different biological systems. Physics of Condensed Matter, Vol. 69, no. 1, 2009, pp. 133 – 146. DOI 10.1140/epjb/e2009-00162-y

  224. I. B. Schwartz, L. Billings, M. Dykman, A. Landsman: Predicting extinction rates in stochastic epidemic models. J. Stat. Mech., 2009, P01005. DOI 10.1088/1742-5468/2009/01/P01005

  225. F. Di Patti, D. Fanelli: Can a microscopic stochastic model explain the emergence of pain cycles in patients? J. Stat. Mech., 2009, P01004. DOI 10.1088/1742-5468/2009/01/P01004

  226. Duggento A., Luchinsky D.G., Smelyanskiy V.N., Millonas M., McClintock P.V.E.: Applications of dynamical inference to the analysis of noisy biological time series with hidden dynamical variables. 20th Int. Conf. on Noise and Fluctuations (ICNF-2009), AIP Conference Proceedings, Vol. 1129, 2009, pp. 531 – 534.

  227. Lecca P., Palmisano A., Priami C.: Deducing Chemical Reaction Rate Constants and Their Regions of Confidence from Noisy Measurements of Time Series of Concentration. Int. Conf. on Computer Modelling and Simulation (UKSIM), 2009, pp. 200 – 205. DOI 10.1109/UKSIM.2009.18

  228. A. Warmflash, A.R. Dinner: Signatures of combinatorial regulation in intrinsic biological noise. PNAS, Vol. 105, no 45, 2008, pp 17267. http://www.pnas.org/content/105/45/17262.full.pdf

  229. K. Kaneko, C. Furusawa: Relevance of phenotypic noise to adaptation and evolution. IET Syst. Biol., Vol. 2, no 5, 2008, pp. 234 – 246. DOI 10.1049/iet-syb:20070078

  230. S. Tanase-Nicola, P. R. ten Wolde: Regulatory Control and the Costs and Benefits of Biochemical Noise. PLoS Comput Biol., Vol. 4, no 8, 2008, e1000125. DOI 10.1371/journal.pcbi.1000125

  231. M. Ackermann, B. Stecher, N.E. Freed, P. Songhet, W.-D. Hardt, M. Doebel: Self-destructive cooperation mediated by phenotypic noise. Nature, Letter, Vol. 454, 21 August 2008, pp 987 – 990. DOI 10.1038/nature07067

  232. Theory & Bio-Systems: Research in the department of theory & bio-systems. Int. Max Planck Research School on Biomimetic Systems, 2007, pp 104 – 135.

  233. P. K. Vinod, K. V. Venkatesh: Specificity of MAPK signaling towards FLO11 expression is established by crosstalk from cAMP pathway. Syst. Synth. Biology, Vol. 1, 2007, pp 99 – 108. DOI 10.1007/s11693-007-9007-7

  234. Yanagida T.: Single molecule nanobiology for elucidating the mechanism involved in utilizing fluctuations by biosystems. IEEE Int. Symp. on the Applications of Ferroelectrics (ISAF), 2007, pp. 855 DOI 10.1109/ISAF.2007.4393426

  235. Iglesias P.A., Khammash M., Munsky B., Sontag E.D., Del Vecchio D.: Systems biology and control — A tutorial. IEEE Conf. on Decision and Control (CDC), 2007, pp. 1 – 12. DOI 10.1109/CDC.2007.4435054

  236. Legg M. W., Zaknich A., Duncan A.J., Greening M.V.: Analysis of impulsive biological noise due to snapping shrimp as a point process in time. OCEANS 2007 - Europe, 2007, pp. 1 – 6. DOI 10.1109/OCEANSE.2007.4302279

  237. C. Li, L. Chen, K. Aihara: Transient resetting: a novel mechanism for synchrony and its biological examples. PloS Computational Biology, Vol. 2, issue 8, August 2006, pp 0925 – 0931. DOI 10.1371/journal.pcbi.0020103

  238. I. Kaganman: To Start or not to Start? Nature Methods, Vol 3, 2006, pp 154 – 155. DOI 10.1038/nmeth0306-154a

  239. T. Casci: Where does all this noise come from? Nature Reviews Genetics, Vol 7, 2006, pp 80 – 81. DOI:10.1038/nrg1790

  240. M. Springer, J. Paulsson: Biological physics: Harmonies from noise. Nature, Vol 439, no 7072, 2006, pp. 27 – 28. DOI:


  241. Chen B.S., Wang Y.C.: On the attenuation and amplification of molecular noise in genetic regulatory networks. BMC Bioinformatics, Vol. 2, no. 7, 2006, pp. 52. DOI 10.1186/1471-2105-7-52

  242. Blomberg C.: Fluctuations for good and bad: The role of noise in living systems. Physics of Life Reviews, Vol. 3, no 3, 2006, pp 133 – 161. DOI 10.1016/j.plrev.2006.06.001

  243. F. J. Isaacs, D. J. Dwyer, J. J. Collins: RNA synthetic biology. Nature Biotechnology, Vol. 24, no. 5, May 2006, pp 545 – 554.

  244. J. Brea, D. F. Russel, A. B. Neiman: Measuring direction in the coupling of biological oscillator: A case study for electroreceptors of paddlefish. Chaos, Vol. 16, no 2, 2006, pp 026111 (10 pages). DOI 10.1063/1.2201466

  245. Newman J.R.S., S. Ghaemmaghami, J. Ihmels, D. K. Breslow, M. Noble, J. L. DeRisi, J. Weissman: Single-cell proteomic analysis of S. cerevisiae reveals the architecture of biological noise. Nature, Vol. 441, 15 June 2006, pp 840 – 846. DOI 10.1038/nature04785

  246. Fange D., Elf J.: Noise-Induced Min Phenotypes in E. coli. PLoS Computational Biology, Vol. 2, 2006, pp. 637 – 648. DOI 10.1371/journal.pcbi.0020080

  247. A. Sauga: The influence of environmental fluctuations on the dynamics of non-linear systems. PhD dissertation, Tallinn University, 2006

  248. F. Ritort: Single-molecule experiments in biological physics: methods and applications. J. Phys.: Condens. Matter, Vol. 18, no 32, 2006, R531 – R583. DOI 10.1088/0953-8984/18/32/R01

  249. M. S. Samoilov, G. Price, A. P. Arkin: From Fluctuations to Phenotypes: The Physiology of Noise. Sci. STKE 2006, re17, 2006. http://stke.sciencemag.org/cgi/content/abstract/sigtrans;2006/366/re17

  250. Ping Ao: Laws of Darwinian Evolutionary Theory. Physics of Life Reviews, Vol. 2, no. 2, 2005, pp. 117 – 156. https://arxiv.org/pdf/q-bio/0605020.pdf

  251. C. Kwon, P. Ao, D.J. Thouless: Structure of Stochastic Dynamics near Fixed Points. PNAS, Vol. 102, 2005, pp. 13029 – 13033. http://www.pnas.org/content/102/37/13029.full.pdf+html

  252. R. A. Veitia: Stochasticity or the fatal ‘imperfection’ of cloning. J. Biosci., Vol. 30, no 1, February 2005, pp 21 – 30. PMID: 15824438 http://www.ias.ac.in/jbiosci/feb2005/21.pdf

  253. Hassibi A., Zahedi S., Navid R., Dutton R. W, Lee T. H.: Biological shot-noise and quantum-limited signal-to-noise ratio in affinity-based biosensors. Journal of Applied Physics, vol 97, no 8, 2005, pp 084701 – 084701-10. DOI 10.1063/1.1861970

  254. J. Luczka: Non-markovian stochastic processes: Colored noise. Chaos, Vol. 15, 026107, 2005, pp 1 – 13. DOI 10.1063/1.1860471

  255. J.-P. Korb, R. G. Bryant: Noise and Functional Protein Dynamics. Biophysical Journal, Vol. 89, no 4, Oct. 2005, pp 2685 – 2692. DOI 10.1529/biophysj.105.060178

  256. Bahram Houchmandzadeh: Filtering the noise of embryonic development. BMC Bioinformatics, Vol 125, no 1, 2005, pp 3765. DOI: 10.1088/0953-8984/17/14/014

  257. D. Zhuravel, M. Kærn: Physics takes another stab at biological design principles. Molecular Systems Biology, Vol 1, Article number: 2005.0029, 2005. DOI 10.1038/msb4100037

  258. G. Malescio: Predicting with unpredictability. Nature, Vol 434, 2005, pp 1073 – 1073. DOI 10.1038/4341073a

  259. T. C. Meng, S. Somani, P. Dhar: Modeling and simulation of biological systems with stochasticity. In Silico Biology, Vol. 4, no. 3, 2004, pp 293 – 309. http://www.bioinfo.de/isb/2004040024/main.html

  260. Ana C. Lorena, André C.P.L.F. de Carvalho: Evaluation of noise reduction techniques in the splice junction recognition problem. Genet. Mol. Biol., Vol.27, no. 4, 2004, pp 665 – 672. DOI 10.1590/S1415-47572004000400031 

  261. B. Spagnolo: Noise-induced phenomena in complex systems: some Interdisciplinary applications. Int. Workshop on Noise in Condensed Matter and Complex Systems, Palermo, 26 – 29 July 2004.

  262. L. You: Toward computational systems biology. Cell Biochemistry and Biophysics, Vol. 40, 2004, pp 167 – 184. DOI 10.1385/CBB:40:2:167

  263. E. Korobkova, T. Emonet, J. M. G. Vilar, T. S. Shimizu, P. Cluzel: From molecular noise to behavioural variability in a single bacterium. Nature, Vol 428, Letters to Editor, 2004, pp 574 – 578. DOI 10.1038/nature02404

  264. A. Neiman, P. Hänggi, P. Jung, L. Schimansky-Geier (eds.): Noise in Biophysical Systems. Special Issue: Fluctuation Noise Letters, Vol. 4, No. 1, 2004, pp 1 – 236.

  265. T. Ushikubo, W. Inoue: Dynamics of repressilator: from noise to coherent oscillation. Genome Informatics, Vol. 14, 2003, pp 314 – 315. DOI

  266. D. McMillen, N. Kopell, J. Hasty, J. J. Collins: Synchronizing genetic relaxation oscillators by intercell signalling. PNAS, Vol. 99, no. 2, Jan. 22, 2002, pp 679 – 684. DOI 10.1073/pnas.022642299

  267. P. Carlini, A. R. Bizzarri, S. Cannistraro: Temporal fluctuations in the potential energy of proteins: 1/f noise and diffusion. Physica D, Vol. 165, 2002, pp 242 – 250. DOI:10.1016/S0167-2789(02)00426-8

  268. Roy P.K., Kozma R., Majumder D.D.: From neurocomputation to immunocomputation - a model and algorithm for fluctuation-induced instability and phase transition in biological systems. IEEE Trans on Evolutionary Computation, vol 6, no 3, 2002, pp 292 – 305. DOI 10.1109/TEVC.2002.1011542

  269. J. Hasty, J. J. Collins: Translating the noise. Nature Genetics, Vol. 31, May 2002, pp 13 – 14. DOI 10.1038/ng0502-13

  270. P. Szendro, G. Vincze, A. Szasz: Bio-response to white noise excitation. Electromagnetic Biology and Medecine, Vol. 20, no. 2, 2001, pp. 215 – 229. https://doi.org/10.1081/JBC-100104145

  271. P. Szendro, G. Vincze, A. Szasz: Pink-noise behaviour of biosystems. European Biophys J., Vol. 30, no 3, 2001, pp 227 – 231. ISSN: 0175-7571

  272. F. Beck, B. Blasius, U. Lüttge, R. Neff, U. Rascher: Stochastic noise interferes coherently with a model biological clock and produces specific dynamic behaviour. Proc. R. Soc. Lond. B, Vol. 268, 2001, pp 1307 – 1313. DOI 10.1098/rspb.2001.1655

  273. J. Hasty, J. J. Collins: Protein interactions: Unspinning the web. Nature, Vol. 411, no 6833, 3 May 2001, pp 30 – 31. DOI 10.1038/35075182

  274. F. Beck, B. Blasius, U. Lüttge, R. Neff, U. Rascher: Stochastic noise interferes coherently with a model biological clock and produces specific dynamical behaviour. Proc. Royal Society London B, Vol. 268, 2001, pp 1307 – 1313. DOI 10.1098/rspb.2001.1655

  275. Bertilone D. C., Killeen D.S.: Statistics of biological noise and performance of generalized energy detectors for passive detection. IEEE Journal of Oceanic Engineering, Vol. 26, no. 2, 2001, pp. 285 – 294. DOI 10.1109/48.922794

  276. J. M. Sancho, J. Garcıa–Ojalvo: Noise-induced order in extended systems: A tutorial. Lecture Notes in Physics, Vol. 557, 2000, pp 235 – 246. DOI 10.1007/3-540-45396-2_22

  277. A.-L. Barabasi, R. Albert: Emergence of scaling in random networks. Science, Vol 286, no 5439, 15 October 1999, pp 509 – 512. DOI 10.1126/science.286.5439.509

  278. A. Ridi, E. Scalas, A. Gliozzi: Noise measurements in bilayer lipid membranes during electroporation. EPJ E: Soft Matter and Biological Physics, Vol. 2, no 2, 1999, pp 161 – 168. DOI 10.1007/s101890050050

  279. E. Scalas, A. Ridi, M. Robello, A. Gliozzi: Flicker noise in bilayer lipid membranes. Europhys. Lett., Vol. 43, no. 1, 1 July 1998, pp 101 – 105. DOI 10.1209/epl/i1998-00308-1

  280. W. Sung, P. J. Park: Transition dynamics of biological systems on mesoscopic scales: Effects of flexibility and fluctuations. Physica A, Vol. 254, 1998, pp 62 – 72. DOI 10.1016/S0378-4371(98)00023-5

  281. T. Musha, M. Yamamoto: 1/f Fluctuations in biological systems. Proc. of 19th Int. Conf. IEEE/EMBS, Chicago 1997, Vol. 6, pp 2692 – 2697. DOI 10.1109/IEMBS.1997.756890

  282. A. R. Bizzarri, S. Cannistraro: Flickering noise in the potential energy fluctuations of proteins as investigated by MD simulation. Phys. Lett. A, Vol. 236, 22 December 1997, pp 596 – 601. DOI 10.1016/S0375-9601(97)00803-7

  283. Gillespie D.T.: The mathematics of Brownian motion and Johnson noise. American Journal of Physics, Vol. 64, 1996, pp. 225 – 240. http://dx.doi.org/10.1119/1.18210

  284. J. M. Hausdorff, C.-K. Peng: Multiscaled randomness: A possible source of 1/f noise in biology. Physical Review E, Vol. 54, No 2, Aug. 1996, pp 2154 – 2157. DOI 10.1103/PhysRevE.54.2154

  285. H. Rosu, E. Canessa: Solitons and 1/f noise in molecular chains. Phys. Rev. E, Vol. 47, no. 6, 1993, pp R3818 – R3821. DOI 10.1103/PhysRevE.47.R3818

  286. T. G. Dewey, J. G. Bann: Protein dynamics and 1/f noise. Biophysical Journal, Vol. 63, no. 2, 1992, pp 594 – 598. DOI 10.1016/S0006-3495(92)81603-X

  287. R. D. Astumian, P.B. Chock, T.Y. Tsong, Y. Chen, H.V. Westerhof: Can free energy be transduced from electric noise? PNAS, Biophysics, Vol. 84, no 2, January 1987, pp 434 – 438. DOI 10.1073/pnas.84.2.434

  288. W. Ebeling, H. Herzel, E.E. Selkov: The influence of noise on an oscillating glycolytic model. Studia Biophysica, Vol. 98, 1983, pp. 147 – 154.

  289. Chen Y.: Differentiation between equilibrium and nonequilibrium kinetic systems by noise analysis. Biophys. J., Vol. 21, no 3, 1978, pp 279 – 285.

  290. French A.S.: Synthesis of Low-Frequency Noise for Use in Biological Experiments. IEEE Trans on Biomedical Eng., Vol. BME-21, no. 3, 1974, pp. 251 – 252. DOI 10.1109/TBME.1974.324394



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