Top-Down Network Analysis to Drive Bottom-Up Modeling of Physiological Processes-Reference-Cited by-同舟云学术

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Top-Down Network Analysis to Drive Bottom-Up Modeling of Physiological Processes

Published:2013-05 Issue:5 Volume:20 Page:409-418
ISSN:1066-5277
Container-title:Journal of Computational Biology
language:en
Short-container-title:Journal of Computational Biology

Author:

Poirel Christopher L.¹,Rodrigues Richard R.²,Chen Katherine C.³,Tyson John J.³,Murali T.M.¹⁴

Affiliation:

1. Department of Computer Science, Virginia Tech, Blacksburg, Virginia.

2. Genetics, Bioinformatics, and Computational Biology PhD Program, Virginia Tech, Blacksburg, Virginia.

3. Department of Biological Sciences, Virginia Tech, Blacksburg, Virginia.

4. ICTAS Centre for Systems Biology of Engineered Tissues, Virginia Tech, Blacksburg, Virginia.

Publisher

Mary Ann Liebert Inc

Subject

Computational Theory and Mathematics,Computational Mathematics,Genetics,Molecular Biology,Modelling and Simulation

Link

http://www.liebertpub.com/doi/pdf/10.1089/cmb.2012.0274

Reference28 articles.

1. YEASTRACT: providing a programmatic access to curated transcriptional regulatory associations in Saccharomyces cerevisiae through a web services interface

2. Robustness in bacterial chemotaxis

3. Finding undetected protein associations in cell signaling by belief propagation

4. Network medicine: a network-based approach to human disease

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