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

Frank Emmert-Streib, Galina V. Glazko, Gokmen Altay, Ricardo De Matos Simoes

Research output: Contribution to journalArticlepeer-review

83 Citations (Scopus)
107 Downloads (Pure)

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.
Original languageEnglish
Article numberArticle 8
Number of pages15
JournalFrontiers in Genetics
Volume3
DOIs
Publication statusPublished - 03 Feb 2012

ASJC Scopus subject areas

  • Genetics
  • Molecular Medicine
  • Genetics(clinical)

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