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miRSM

Inferring miRNA sponge modules in heterogeneous data

Bioconductor version: 3.24 · Package version: 2.9.3

The package aims to identify miRNA sponge or ceRNA modules in heterogeneous data. It provides several functions to study miRNA sponge modules at single-sample and multi-sample levels, including popular methods for inferring gene modules (candidate miRNA sponge or ceRNA modules), and two functions to identify miRNA sponge modules at single-sample and multi-sample levels, as well as several functions to conduct modular analysis of miRNA sponge modules.

Installation

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

BiocManager::install("miRSM")

Details

MaintainerJunpeng Zhang <zjp@dali.edu.cn>
AuthorJunpeng Zhang [aut, cre]
LicenseGPL-3
URLhttps://github.com/zhangjunpeng411/miRSM
Bug Reportshttps://github.com/zhangjunpeng411/miRSM/issues
Downloads rank549
Source branchdevel
biocViewsBiomedicalInformatics, Clustering, GeneExpression, GeneRegulation, GeneSetEnrichment, GeneTarget, Microarray, Software

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packagemiRSM_2.9.3.tar.gz
Windows binary (x86_64)miRSM_2.9.3.zip
macOS binary (arm64)miRSM_2.9.3.tgz
macOS binary (x86_64)miRSM_2.9.3.tgz
Dependencies

Depends: R (>= 4.4.0)

Imports: WGCNA, flashClust, dynamicTreeCut, GFA, igraph, RColorBrewer, grid, MCL, fabia, NMF, BicARE, isa2, methods, rJava, Biobase, PMA, stats, dbscan, mclust, SOMbrero, ppclust, Rcpp, utils, SummarizedExperiment, GSEABase, org.Hs.eg.db, clusterProfiler, ReactomePA, DOSE, MatrixCorrelation, energy

Suggests: BiocStyle, knitr, rmarkdown, testthat