cbiagii/CeTF: Coexpression for Transcription Factors using Regulatory Impact Factors and Partial Correlation and Information Theory analysis

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 correlation-based network including but not limited to gene co-expression 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, RNA-seq and single-cell RNA-seq data).

Getting started

Package details

Bioconductor views ChIPSeq Coverage DifferentialExpression GeneExpression ImmunoOncology Microarray Network Normalization RNASeq Regression Sequencing SingleCell Transcription
Maintainer
LicenseGPL-3
Version0.99.12
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("cbiagii/CeTF")
cbiagii/CeTF documentation built on Jan. 8, 2020, 4:35 a.m.