biagii/cetf repository overview

⁠Docker Image for CeTF package in R

⁠Overview

This image provides a docker Rstudio interface for CeTF package in R, pointing to Bioconductor⁠ and GitHub repository⁠

The package provides the necessary instructions for performing the Partial Correlation coefficient with Information Theory (PCIT) from Reverter and Chan 2008⁠ and Regulatory Impact Factors (RIF) from Reverter et al. 2010⁠ algorithm. The PCIT algorithm identifies meaningful correlations to define edges in a weighted network. The algorithm can be applied to any correlation-based network including but not limited to gene co-expression networks. While the RIF algorithm identify critical transcript 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).

For further details access https://bioconductor.org/packages/CeTF⁠ or https://github.com/cbiagii/CeTF⁠

⁠Help

Any questions contact the developer by email: [email protected]⁠