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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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Détails bibliographiques
Auteurs principaux: Emmert-Streib, Frank, Glazko, Galina V., Altay, Gökmen, de Matos Simoes, Ricardo
Format: Artigo
Langue:Inglês
Publié: Frontiers Research Foundation 2012
Sujets:
Accès en ligne: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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