RIP: the regulatory interaction predictor - a machine learning-based approach for predicting target genes of transcription factors.

Bauer T, Eils R, König R (2011) RIP: the regulatory interaction predictor - a machine learning-based approach for predicting target genes of transcription factors. Bioinformatics 27(16), 2239-2247. PubMed

Abstract

Understanding transcriptional gene regulation is essential for studying cellular systems. Identifying genome-wide targets of transcription factors (TFs) provides the basis to discover the involvement of TFs and TF cooperativeness in cellular systems and pathogenesis.

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doi: 10.1093/bioinformatics/btr366 PMID: 21690103