DOI: 10.18129/B9.bioc.fcoex  

This package is deprecated. It will probably be removed from Bioconductor. Please refer to the package end-of-life guidelines for more information.

This is the development version of fcoex; for the stable release version, see fcoex.

FCBF-based Co-Expression Networks for Single Cells

Bioconductor version: Development (3.18)

The fcoex package implements an easy-to use interface to co-expression analysis based on the FCBF (Fast Correlation-Based Filter) algorithm. it was implemented especifically to deal with single-cell data. The modules found can be used to redefine cell populations, unrevel novel gene associations and predict gene function by guilt-by-association. The package structure is adapted from the CEMiTool package, relying on visualizations and code designed and written by CEMiTool's authors.

Author: Tiago Lubiana [aut, cre], Helder Nakaya [aut, ths]

Maintainer: Tiago Lubiana <tiago.lubiana.alves at usp.br>

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


To install this package, start R (version "4.3") and enter:

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

# The following initializes usage of Bioc devel


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


PDF   Reference Manual


biocViews GeneExpression, GraphAndNetwork, ImmunoOncology, Network, NetworkEnrichment, Pathways, RNASeq, SingleCell, Software, Transcriptomics, mRNAMicroarray
Version 1.15.1
In Bioconductor since BioC 3.10 (R-3.6) (4 years)
License GPL-3
Depends R (>= 4.1)
Imports FCBF, parallel, progress, dplyr, ggplot2, ggrepel, igraph, grid, intergraph, stringr, clusterProfiler, data.table, grDevices, methods, network, scales, sna, utils, stats, SingleCellExperiment, pathwayPCA, Matrix
Suggests testthat (>= 2.1.0), devtools, BiocManager, TENxPBMCData, scater, schex, gridExtra, scran, Seurat, knitr, rmarkdown
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
Windows Binary
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/fcoex
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/fcoex
Package Short Url https://bioconductor.org/packages/fcoex/
Package Downloads Report Download Stats

Documentation »


R / CRAN packages and documentation

Support »

Please read the posting guide. Post questions about Bioconductor to one of the following locations: