miRSM

DOI: 10.18129/B9.bioc.miRSM  

This package is for version 3.16 of Bioconductor; for the stable, up-to-date release version, see miRSM.

Inferring miRNA sponge modules in heterogeneous data

Bioconductor version: 3.16

The package aims to identify miRNA sponge modules in heterogeneous data. It provides several functions to study miRNA sponge modules, including popular methods for inferring gene modules (candidate miRNA sponge modules), and a function to identify miRNA sponge modules, as well as several functions to conduct modular analysis of miRNA sponge modules.

Author: Junpeng Zhang [aut, cre]

Maintainer: Junpeng Zhang <zhangjunpeng411 at gmail.com>

Installation

To install this package, start R (version "4.2") and enter:

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

BiocManager::install("miRSM")

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

Documentation

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

browseVignettes("miRSM")

 

HTML	R Script	miRSM: inferring miRNA sponge modules in heterogeneous data
PDF		Reference Manual
Text		NEWS

Details

biocViews	BiomedicalInformatics, Clustering, GeneExpression, GeneRegulation, GeneSetEnrichment, GeneTarget, Microarray, Software
Version	1.16.0
In Bioconductor since	BioC 3.8 (R-3.5) (4.5 years)
License	GPL-3
Depends	R (>= 3.5.0)
Imports	WGCNA, flashClust, dynamicTreeCut, GFA, igraph, linkcomm, MCL, NMF, biclust, iBBiG, fabia, BicARE, isa2, s4vd, BiBitR, rqubic, Biobase, PMA, stats, dbscan, subspace, mclust, SOMbrero, ppclust, miRspongeR, Rcpp, utils, SummarizedExperiment, GSEABase, org.Hs.eg.db, MatrixCorrelation, energy
LinkingTo
Suggests	BiocStyle, knitr, rmarkdown, testthat
SystemRequirements
Enhances
URL	https://github.com/zhangjunpeng411/miRSM
BugReports	https://github.com/zhangjunpeng411/miRSM/issues
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package	miRSM_1.16.0.tar.gz
Windows Binary	miRSM_1.16.0.zip
macOS Binary (x86_64)	miRSM_1.16.0.tgz
macOS Binary (arm64)	miRSM_1.16.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/miRSM
Source Repository (Developer Access)	git clone [email protected]:packages/miRSM
Bioc Package Browser	https://code.bioconductor.org/browse/miRSM/
Package Short Url	https://bioconductor.org/packages/miRSM/
Package Downloads Report	Download Stats