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Inferring miRNA sponge modules in heterogeneous data

Bioconductor version: Release (3.19)

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.

Author: Junpeng Zhang [aut, cre]

Maintainer: Junpeng Zhang <zjp at>

Citation (from within R, enter citation("miRSM")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))


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:

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


biocViews BiomedicalInformatics, Clustering, GeneExpression, GeneRegulation, GeneSetEnrichment, GeneTarget, Microarray, Software
Version 2.0.0
In Bioconductor since BioC 3.8 (R-3.5) (5.5 years)
License GPL-3
Depends R (>= 3.5.0)
Imports WGCNA, flashClust, dynamicTreeCut, GFA, igraph, linkcomm, MCL, fabia, NMF, biclust, iBBiG, BicARE, isa2, s4vd, BiBitR, rqubic, Biobase, PMA, stats, dbscan, subspace, mclust, SOMbrero, ppclust, Rcpp, utils, SummarizedExperiment, GSEABase,, clusterProfiler, ReactomePA, DOSE, MatrixCorrelation, energy
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Source Package miRSM_2.0.0.tar.gz
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macOS Binary (x86_64) miRSM_2.0.0.tgz
macOS Binary (arm64) miRSM_2.0.0.tgz
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