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Statistical Inference and Reverse Engineering of Gene Regulatory Networks from Observational Expression Data

In this paper, we present a systematic and conceptual overview of methods for inferring gene regulatory networks from observational gene expression data. Further, we discuss two classic approaches to infer causal structures and compare them with contemporary methods by providing a conceptual categor...

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Podrobná bibliografie
Hlavní autoři: Emmert-Streib, Frank, Glazko, Galina V., Altay, Gökmen, de Matos Simoes, Ricardo
Médium: Artigo
Jazyk:Inglês
Vydáno: Frontiers Research Foundation 2012
Témata:
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC3271232/
https://ncbi.nlm.nih.gov/pubmed/22408642
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fgene.2012.00008
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