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CeTF

This is thereleased version of CeTF; for the devel version, seeCeTF.

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

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DOI: 10.18129/B9.bioc.CeTF


Bioconductor version: Release (3.22)

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).

Author: Carlos Alberto Oliveira de Biagi Junior [aut, cre], Ricardo Perecin Nociti [aut], Breno Osvaldo Funicheli [aut], João Paulo Bianchi Ximenez [ctb], Patrícia de Cássia Ruy [ctb], Marcelo Gomes de Paula [ctb], Rafael dos Santos Bezerra [ctb], Wilson Araújo da Silva Junior [aut, ths]

Maintainer: Carlos Alberto Oliveira de Biagi Junior <cbiagijr at gmail.com>

Citation (from within R, entercitation("CeTF")):

Installation

To install this package, start R (version "4.5") and enter:

if (!require("BiocManager", quietly = TRUE))    install.packages("BiocManager")BiocManager::install("CeTF")

For older versions of R, please refer to the appropriateBioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("CeTF")
Analyzing Regulatory Impact Factors and Partial Correlation and Information TheoryHTMLR Script
Reference ManualPDF
NEWSText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsChIPSeq,Coverage,DifferentialExpression,GeneExpression,ImmunoOncology,Microarray,Network,Normalization,RNASeq,Regression,Sequencing,SingleCell,Software,Transcription
Version1.22.0
In Bioconductor sinceBioC 3.11 (R-4.0) (5.5 years)
LicenseGPL-3
DependsR (>= 4.0)
Importscirclize,ComplexHeatmap,clusterProfiler,DESeq2,dplyr,GenomicTools.fileHandler,GGally,ggnetwork,ggplot2,ggpubr,ggrepel, graphics, grid,igraph,Matrix,network,Rcpp,RCy3, stats,SummarizedExperiment,S4Vectors, utils, methods
System Requirementslibcurl4-openssl-dev, libxml2-dev, libssl-dev, gfortran, build-essential, libz-dev, zlib1g-dev
URL
See More
Suggestsairway,kableExtra,knitr,org.Hs.eg.db,rmarkdown,testthat
Linking ToRcpp,RcppArmadillo
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source PackageCeTF_1.22.0.tar.gz
Windows Binary (x86_64) CeTF_1.22.0.zip (64-bit only)
macOS Binary (x86_64)CeTF_1.22.0.tgz
macOS Binary (arm64)CeTF_1.22.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/CeTF
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/CeTF
Bioc Package Browserhttps://code.bioconductor.org/browse/CeTF/
Package Short Urlhttps://bioconductor.org/packages/CeTF/
Package Downloads ReportDownload Stats

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