Review of stochastic hybrid systems with applications in biological systems modeling and analysis-Reference-Cited by-同舟云学术

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Review of stochastic hybrid systems with applications in biological systems modeling and analysis

Published:2017-06-30 Issue:1 Volume:2017 Page:
ISSN:1687-4153
Container-title:EURASIP Journal on Bioinformatics and Systems Biology
language:en
Short-container-title:J Bioinform Sys Biology

Author:

Li Xiangfang,Omotere Oluwaseyi,Qian Lijun,Dougherty Edward R.

Funder

National Science Foundation

Publisher

Springer Science and Business Media LLC

Subject

Computational Mathematics,Computer Science Applications,General Biochemistry, Genetics and Molecular Biology

Link

http://link.springer.com/content/pdf/10.1186/s13637-017-0061-5.pdf

Reference77 articles.

1. Marx, V ((2013)). Biology: The big challenges of big data. Nature, 498(7453), 255–260.

2. Kouretas, P, Koutroumpas, K, Lygeros, J, Lygerou, Z. (2006). Stochastic hybrid modeling of biochemical processes. Boca Raton, FL: CRC Press.

3. Kim, T, Afonin, KA, Viard, M, Koyfman, AY, Sparks, S, Heldman, E, Grinberg, S, Linder, C, Blumenthal, RP, Shapiro, BA (2013). In silico, in vitro, and in vivo studies indicate the potential use of bolaamphiphiles for therapeutic siRNAs delivery. Mol Ther Nucleic Acids, 2, e80.

4. de Jong, H (2002). Modeling and simulation of genetic regulatory systems: a literature review. J Comput Biol, 9(1), 67–103. doi: 10.1089/10665270252833208 .

5. Walhout, A (2011). What does biologically meaningful mean? a perspective on gene regulatory network validation. Genome Biol, 12(4), 109. http://genomebiology.com/content/12/4/109 .

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