RIP (regulatory interaction predictor) is a machine learning approach that inferred 73,923 RIs for 301 human TFs and 11,263 target genes with considerably good quality and 4,516 RIs with very high quality. The inference of RIs is independent of any specific condition.
- R package
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Bioinformatics. 2011 Aug 15;27(16):2239-47. doi: 10.1093/bioinformatics/btr366. Epub 2011 Jun 20.
RIP: the regulatory interaction predictor–a machine learning-based approach for predicting target genes of transcription factors.
Bauer T, Eils R, König R.