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CeTF: an R package to Coexpression forTranscription Factors using Regulatory ImpactFactors (RIF) and Partial Correlation andInformation (PCIT) analysis

Oliveira de Biagi Junior, C. A.; Perecin Nociti, R.; Osvaldo Funicheli, B.; de Cassia Ruy, P.; Bianchi Ximenez, J. P.; Silva, W. A.

2020-04-01 bioinformatics
10.1101/2020.03.30.015784 bioRxiv
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SummaryFinding meaningful gene-gene associations and the main Transcription Factors (TFs) in co-expression networks is one of the most important challenges in gene expression data mining. CeTF is an R package that integrates the Partial Correlation with Information Theory (PCIT) and Regulatory Impact Factors (RIF) algorithms applied to gene expression data from microarray, RNA-seq, or single-cell RNA-seq platforms. This approach allows identifying the transcription factors most likely to regulate a given network in different biological systems -- for example, regulation of gene pathways in tumor stromal cells and tumor cells of the same tumor. This pipeline can be easily integrated into the high-throughput analysis. AvailabilityCeTF is available as R package in Bioconductor (https://bioconductor.org/packages/CeTF), GitHub (https://github.com/cbiagii/CeTF) and as docker image (https://hub.docker.com/r/biagii/cetf). More information on how to use the package can be found in the Supplemental File 1.

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