CeTF: an R/Bioconductor package for transcription factor co-expression networks using regulatory impact factors (RIF) and partial correlation and information (PCIT) analysis.

Carlos Alberto Oliveira de BiagiRicardo Perecin NocitiDanielle Barbosa BrottoBreno Osvaldo FunicheliPatrícia de Cássia RuyJoão Paulo Bianchi XimenezDavid Livingstone Alves FigueiredoWilson Araújo da Silva Junior

Published in: BMC genomics (2021)

This preliminary finding shows the potential of CeTF to list master regulators of gene networks. CeTF was designed as a user-friendly tool that provides many highly automated functions without requiring the user to perform many complicated processes. It is available on Bioconductor ( http://bioconductor.org/packages/CeTF ) and GitHub ( http://github.com/cbiagii/CeTF ).

Keyphrases

transcription factor
genome wide identification
poor prognosis
dna binding
machine learning
deep learning
high throughput
copy number
healthcare
gene expression
dna methylation
binding protein
long non coding rna
risk assessment
single cell
data analysis