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Bioconductor 3.22 Released

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BioCor

This is thereleased version of BioCor; for the devel version, seeBioCor.

Functional Similarities

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DOI: 10.18129/B9.bioc.BioCor


Bioconductor version: Release (3.22)

Calculates functional similarities based on the pathways described on KEGG and REACTOME or in gene sets. These similarities can be calculated for pathways or gene sets, genes, or clusters and combined with other similarities. They can be used to improve networks, gene selection, testing relationships...

Author: Lluís Revilla Sancho [aut, cre]ORCID iD ORCID: 0000-0001-9747-2570, Pau Sancho-Bru [ths]ORCID iD ORCID: 0000-0001-5569-9259, Juan José Salvatella Lozano [ths]ORCID iD ORCID: 0000-0001-7613-3908

Maintainer: Lluís Revilla Sancho <lluis.revilla at gmail.com>

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

Installation

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

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

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("BioCor")
About BioCorHTMLR Script
Advanced usage of BioCorHTMLR Script
Reference ManualPDF
NEWSText
LICENSEText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsClustering,GeneExpression,Network,NetworkEnrichment,Pathways,Software,StatisticalMethod,SystemsBiology
Version1.34.0
In Bioconductor sinceBioC 3.5 (R-3.4) (8.5 years)
LicenseMIT + fileLICENSE
DependsR (>= 4.4)
ImportsBiocParallel,GSEABase,Matrix, methods
System Requirements
URLhttps://bioconductor.org/packages/BioCorhttps://biocor.llrs.dev
Bug Reportshttps://github.com/llrs/BioCor/issues
See More
Suggestsairway,BiocStyle,boot,DESeq2,ggplot2 (>= 3.4.1),GOSemSim,Hmisc,knitr (>= 1.43),org.Hs.eg.db,reactome.db,rmarkdown,spelling,testthat (>= 3.1.5),WGCNA
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Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source PackageBioCor_1.34.0.tar.gz
Windows Binary (x86_64) BioCor_1.34.0.zip
macOS Binary (x86_64)BioCor_1.34.0.tgz
macOS Binary (arm64)BioCor_1.34.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/BioCor
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/BioCor
Bioc Package Browserhttps://code.bioconductor.org/browse/BioCor/
Package Short Urlhttps://bioconductor.org/packages/BioCor/
Package Downloads ReportDownload Stats

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