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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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| 出版年: | Genome Res |
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| 主要な著者: | , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Cold Spring Harbor Laboratory Press
2003
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.govhttps://pmc.ncbi.nlm.nih.gov/articles/PMC403758/ https://ncbi.nlm.nih.govhttps://pubmed.ncbi.nlm.nih.gov/14597654/ https://ncbi.nlm.nih.govhttps://doi.org/10.1101/gr.1198103 |
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