This package provides the necessary functions for performing the Partial Correlation coefficient with Information Theory (PCIT) (Reverter and Chan 2008) and Regulatory Impact Factors (RIF) (Reverter et al. 2010) algorithm. The PCIT algorithm identifies meaningful correlations to define edges in a weighted network and can be applied to any correlationbased network including but not limited to gene coexpression networks, while the RIF algorithm identify critical Transcription Factors (TF) from gene expression data. These two algorithms when combined provide a very relevant layer of information for gene expression studies (Microarray, RNAseq and singlecell RNAseq data).
Package details 


Author  Carlos Alberto Oliveira de Biagi Junior [aut, cre], Ricardo Perecin Nociti [aut], Breno Osvaldo Funicheli [aut], João Paulo Bianchi Ximenez [ctb], Patrícia de Cássia Ruy [ctb], Marcelo Gomes de Paula [ctb], Rafael dos Santos Bezerra [ctb], Wilson Araújo da Silva Junior [aut, ths] 
Bioconductor views  ChIPSeq Coverage DifferentialExpression GeneExpression ImmunoOncology Microarray Network Normalization RNASeq Regression Sequencing SingleCell Transcription 
Maintainer  Carlos Alberto Oliveira de Biagi Junior <cbiagijr@gmail.com> 
License  GPL3 
Version  1.2.4 
Package repository  View on Bioconductor 
Installation 
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