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Co-expression Modules identification Tool

Bioconductor version: Release (3.19)

The CEMiTool package unifies the discovery and the analysis of coexpression gene modules in a fully automatic manner, while providing a user-friendly html report with high quality graphs. Our tool evaluates if modules contain genes that are over-represented by specific pathways or that are altered in a specific sample group. Additionally, CEMiTool is able to integrate transcriptomic data with interactome information, identifying the potential hubs on each network.

Author: Pedro Russo [aut], Gustavo Ferreira [aut], Matheus B├╝rger [aut], Lucas Cardozo [aut], Diogenes Lima [aut], Thiago Hirata [aut], Melissa Lever [aut], Helder Nakaya [aut, cre]

Maintainer: Helder Nakaya <hnakaya at>

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


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:

CEMiTool: Co-expression Modules Identification Tool HTML R Script
Reference Manual PDF


biocViews GeneExpression, GraphAndNetwork, ImmunoOncology, Network, NetworkEnrichment, Pathways, RNASeq, Software, Transcriptomics, mRNAMicroarray
Version 1.28.0
In Bioconductor since BioC 3.6 (R-3.4) (6.5 years)
License GPL-3
Depends R (>= 4.0)
Imports methods, scales, dplyr, data.table (>= 1.9.4), WGCNA, grid, ggplot2, ggpmisc, ggthemes, ggrepel, sna, clusterProfiler, fgsea, stringr, knitr, rmarkdown, igraph, DT, htmltools, pracma, intergraph, grDevices, utils, network, matrixStats, ggdendro, gridExtra, gtable, fastcluster
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Follow Installation instructions to use this package in your R session.

Source Package CEMiTool_1.28.0.tar.gz
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macOS Binary (x86_64) CEMiTool_1.28.0.tgz
macOS Binary (arm64) CEMiTool_1.28.0.tgz
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Source Repository (Developer Access) git clone
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