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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Bibliografski detalji

Glavni autori:	Frank eEmmert-Streib, Galina eGlazko, Altay eG¨okmen, Ricardo eDe Matos Simoes
Format:	Artigo
Jezik:	Inglês
Izdano:	Frontiers Media S.A. 2012-02-01
Serija:	Frontiers in Genetics
Teme:	Gene Regulatory Networks Bayesian network reverse engineering statistical inference causal relations directed acyclic graphs
Online pristup:	http://journal.frontiersin.org/Journal/10.3389/fgene.2012.00008/full
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