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 


Bioconductor views  ChIPSeq Coverage DifferentialExpression GeneExpression ImmunoOncology Microarray Network Normalization RNASeq Regression Sequencing SingleCell Transcription 
Maintainer  
License  GPL3 
Version  1.1.2 
Package repository  View on GitHub 
Installation 
Install the latest version of this package by entering the following in R:

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