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

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Details

Original languageEnglish
Article numberArticle 8
JournalFrontiers in Genetics
Volume3
Issue numberFEB
DOIs
Publication statusPublished - 2012
Publication typeA1 Journal article-refereed

Abstract

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 categorization thereof. We complement the above by surveying global and local evaluation measures for assessing the performance of inference algorithms.

Keywords

  • Bayesian network, Causal relations, Directed acyclic graphs, Gene regulatory networks, Information-theory methods, Reverse engineering, Statistical inference