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Journal Abstract Search
218 related items for PubMed ID: 15862593
1. Evaluation of the performance of mechanisms for noise attenuation in a single-gene expression. Morishita Y, Kobayashi TJ, Aihara K. J Theor Biol; 2005 Jul 21; 235(2):241-64. PubMed ID: 15862593 [Abstract] [Full Text] [Related]
2. On the attenuation and amplification of molecular noise in genetic regulatory networks. Chen BS, Wang YC. BMC Bioinformatics; 2006 Feb 02; 7():52. PubMed ID: 16457708 [Abstract] [Full Text] [Related]
3. Efficient attenuation of stochasticity in gene expression through post-transcriptional control. Swain PS. J Mol Biol; 2004 Dec 03; 344(4):965-76. PubMed ID: 15544806 [Abstract] [Full Text] [Related]
4. Multivariate analysis of noise in genetic regulatory networks. Tomioka R, Kimura H, J Kobayashi T, Aihara K. J Theor Biol; 2004 Aug 21; 229(4):501-21. PubMed ID: 15246787 [Abstract] [Full Text] [Related]
5. Noise-reduction through interaction in gene expression and biochemical reaction processes. Morishita Y, Aihara K. J Theor Biol; 2004 Jun 07; 228(3):315-25. PubMed ID: 15135030 [Abstract] [Full Text] [Related]
6. Stochastic and delayed stochastic models of gene expression and regulation. Ribeiro AS. Math Biosci; 2010 Jan 07; 223(1):1-11. PubMed ID: 19883665 [Abstract] [Full Text] [Related]
7. Effect of feedback regulation on stochastic gene expression. Tao Y, Zheng X, Sun Y. J Theor Biol; 2007 Aug 21; 247(4):827-36. PubMed ID: 17507034 [Abstract] [Full Text] [Related]
8. Stochasticity in single gene expression with both intrinsic noise and fluctuation in kinetic parameters. Lei J. J Theor Biol; 2009 Feb 21; 256(4):485-92. PubMed ID: 19056400 [Abstract] [Full Text] [Related]
9. Studying genetic regulatory networks at the molecular level: delayed reaction stochastic models. Zhu R, Ribeiro AS, Salahub D, Kauffman SA. J Theor Biol; 2007 Jun 21; 246(4):725-45. PubMed ID: 17350653 [Abstract] [Full Text] [Related]
10. The effect of negative feedback on noise propagation in transcriptional gene networks. Hooshangi S, Weiss R. Chaos; 2006 Jun 21; 16(2):026108. PubMed ID: 16822040 [Abstract] [Full Text] [Related]
11. Stochastic models and numerical algorithms for a class of regulatory gene networks. Fournier T, Gabriel JP, Pasquier J, Mazza C, Galbete J, Mermod N. Bull Math Biol; 2009 Aug 21; 71(6):1394-431. PubMed ID: 19387744 [Abstract] [Full Text] [Related]
12. Robust model matching design methodology for a stochastic synthetic gene network. Chen BS, Chang CH, Wang YC, Wu CH, Lee HC. Math Biosci; 2011 Mar 21; 230(1):23-36. PubMed ID: 21215760 [Abstract] [Full Text] [Related]
13. Frequency domain analysis of noise in simple gene circuits. Cox CD, McCollum JM, Austin DW, Allen MS, Dar RD, Simpson ML. Chaos; 2006 Jun 21; 16(2):026102. PubMed ID: 16822034 [Abstract] [Full Text] [Related]
14. Stochastic analysis of gene expression. Zheng XD, Tao Y. Methods Mol Biol; 2011 Jun 21; 734():123-51. PubMed ID: 21468988 [Abstract] [Full Text] [Related]
15. Stochastic fluctuations in gene expression far from equilibrium: Omega expansion and linear noise approximation. Tao Y, Jia Y, Dewey TG. J Chem Phys; 2005 Mar 22; 122(12):124108. PubMed ID: 15836370 [Abstract] [Full Text] [Related]
16. Distributions for negative-feedback-regulated stochastic gene expression: dimension reduction and numerical solution of the chemical master equation. Zeron ES, Santillán M. J Theor Biol; 2010 May 21; 264(2):377-85. PubMed ID: 20144620 [Abstract] [Full Text] [Related]
18. A molecular noise generator. Lu T, Ferry M, Weiss R, Hasty J. Phys Biol; 2008 Aug 13; 5(3):036006. PubMed ID: 18698117 [Abstract] [Full Text] [Related]
19. Negative feedback through mRNA provides the best control of gene-expression noise. Singh A. IEEE Trans Nanobioscience; 2011 Sep 13; 10(3):194-200. PubMed ID: 22020106 [Abstract] [Full Text] [Related]
20. Intrinsic and external noise in an auto-regulatory genetic network. Tao Y. J Theor Biol; 2004 Jul 21; 229(2):147-56. PubMed ID: 15207470 [Abstract] [Full Text] [Related] Page: [Next] [New Search]