Joint Bayesian inference of condition-specific miRNA and transcription factor activities from combined gene and microRNA expression data | Zendy

Benedikt Zacher | Zendy; Khalid Abnaof | Zendy; Stephan Gade | Zendy; Erfan Younesi | Zendy; Achim Tresch | Zendy; Holger Fröhlich | Zendy

Open Access

Joint Bayesian inference of condition-specific miRNA and transcription factor activities from combined gene and microRNA expression data

Author(s) -

Benedikt Zacher,

Khalid Abnaof,

Stephan Gade,

Erfan Younesi,

Achim Tresch,

Holger Fröhlich

Publication year - 2012

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/bts257

Subject(s) - microrna , bioconductor , computational biology , inference , biology , transcription factor , computer science , gene , gene expression , bioinformatics , genetics , artificial intelligence

There have been many successful experimental and bioinformatics efforts to elucidate transcription factor (TF)-target networks in several organisms. For many organisms, these annotations are complemented by miRNA-target networks of good quality. Attempts that use these networks in combination with gene expression data to draw conclusions on TF or miRNA activity are, however, still relatively sparse.

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