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Importance of Input Perturbations and Stochastic Gene Expression in the Reverse Engineering of Genetic Regulatory Networks: Insights From an Identifiability Analysis of an In Silico Network

Gene expression profiles are an increasingly common data source that can yield insights into the functions of cells at a system-wide level. The present work considers the limitations in information content of gene expression data for reverse engineering regulatory networks. An in silico genetic regu...

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Main Authors: Zak, Daniel E., Gonye, Gregory E., Schwaber, James S., Doyle, Francis J.
Format: Artigo
Jezik:Inglês
Izdano: Cold Spring Harbor Laboratory Press 2003
Teme:
Online dostop:https://ncbi.nlm.nih.gov/pmc/articles/PMC403758/
https://ncbi.nlm.nih.gov/pubmed/14597654
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1101/gr.1198103
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