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SGCP

This is thereleased version of SGCP; for the devel version, seeSGCP.

SGCP: A semi-supervised pipeline for gene clustering using self-training approach in gene co-expression networks

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DOI: 10.18129/B9.bioc.SGCP


Bioconductor version: Release (3.22)

SGC is a semi-supervised pipeline for gene clustering in gene co-expression networks. SGC consists of multiple novel steps that enable the computation of highly enriched modules in an unsupervised manner. But unlike all existing frameworks, it further incorporates a novel step that leverages Gene Ontology information in a semi-supervised clustering method that further improves the quality of the computed modules.

Author: Niloofar AghaieAbiane [aut, cre]ORCID iD ORCID: 0000-0003-1096-7592, Ioannis Koutis [aut]

Maintainer: Niloofar AghaieAbiane <niloofar.abiane at gmail.com>

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

Installation

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

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

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

Documentation

Reference ManualPDF

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsClassification,Clustering,DimensionReduction,GeneExpression,GeneSetEnrichment,GraphAndNetwork,Network,NetworkEnrichment,NeuralNetwork,RNASeq,Software,SystemsBiology,Visualization,mRNAMicroarray
Version1.9.0
In Bioconductor sinceBioC 3.17 (R-4.3) (2.5 years)
LicenseGPL-3
DependsR (>= 4.2.0)
Importsggplot2,expm,caret,plyr,dplyr,GO.db,annotate,SummarizedExperiment,genefilter,GOstats,RColorBrewer,xtable,Rgraphviz,reshape2,openxlsx,ggridges,DescTools,org.Hs.eg.db, methods, grDevices, stats,RSpectra,graph
System Requirements
URLhttps://github.com/na396/SGCP
See More
Suggestsknitr,rmarkdown,BiocManager,devtools,BiocStyle
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Package Archives

FollowInstallation instructions to use this package in your R session.

Source Package
Windows Binary (x86_64) SGCP_1.9.0.zip
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repositorygit clone https://git.bioconductor.org/packages/SGCP
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/SGCP
Bioc Package Browserhttps://code.bioconductor.org/browse/SGCP/
Package Short Urlhttps://bioconductor.org/packages/SGCP/
Package Downloads ReportDownload Stats

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