This package is for version 3.11 of Bioconductor; for the stable, up-to-date release version, see miRSM.
Bioconductor version: 3.11
The package aims to identify miRNA sponge modules by integrating expression data and miRNA-target binding information. 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 <zhangjunpeng_411 at yahoo.com>
Citation (from within R,
enter citation("miRSM")
):
To install this package, start R (version "4.0") and enter:
if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("miRSM")
For older versions of R, please refer to the appropriate Bioconductor release.
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 by integrating expression data and miRNA-target binding information |
Reference Manual | ||
Text | NEWS |
biocViews | BiomedicalInformatics, Clustering, GeneExpression, GeneRegulation, GeneSetEnrichment, GeneTarget, Microarray, Software |
Version | 1.6.4 |
In Bioconductor since | BioC 3.8 (R-3.5) (2 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 |
Follow Installation instructions to use this package in your R session.
Source Package | miRSM_1.6.4.tar.gz |
Windows Binary | miRSM_1.6.4.zip (32- & 64-bit) |
macOS 10.13 (High Sierra) | miRSM_1.6.4.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/miRSM |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/miRSM |
Package Short Url | https://bioconductor.org/packages/miRSM/ |
Package Downloads Report | Download Stats |
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