recipe bioconductor-cetf

Coexpression for Transcription Factors using Regulatory Impact Factors and Partial Correlation and Information Theory analysis

Homepage

https://bioconductor.org/packages/3.11/bioc/html/CeTF.html

License

GPL-3

Recipe

/bioconductor-cetf/meta.yaml

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).

package bioconductor-cetf

(downloads) docker_bioconductor-cetf

Versions

1.0.1-0

Depends
Required By

Installation

With an activated Bioconda channel (see 2. Set up channels), install with:

conda install bioconductor-cetf

and update with:

conda update bioconductor-cetf

or use the docker container:

docker pull quay.io/biocontainers/bioconductor-cetf:<tag>

(see bioconductor-cetf/tags for valid values for <tag>)