Statistical inference and reverse engineering of gene regulatory networks from observational expression data.

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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Bibliographic Details
Main Authors: Frank eEmmert-Streib, Galina eGlazko, Altay eG¨okmen, Ricardo eDe Matos Simoes
Format: Article
Language:English
Published: Frontiers Media S.A. 2012-02-01
Series:Frontiers in Genetics
Subjects:
Gene Regulatory Networks
Bayesian network
reverse engineering
statistical inference
causal relations
directed acyclic graphs
Online Access:http://journal.frontiersin.org/Journal/10.3389/fgene.2012.00008/full

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