fcoex

DOI: 10.18129/B9.bioc.fcoex  

FCBF-based Co-Expression Networks for Single Cells

Bioconductor version: Release (3.16)

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")):

Installation

To install this package, start R (version "4.2") and enter:

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

BiocManager::install("fcoex")

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

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("fcoex")

 

HTML R Script fcoex: co-expression for single-cell data
HTML R Script fcoex: co-expression for single-cell data integrated with Seurat
PDF   Reference Manual
Text   NEWS

Details

biocViews GeneExpression, GraphAndNetwork, ImmunoOncology, Network, NetworkEnrichment, Pathways, RNASeq, SingleCell, Software, Transcriptomics, mRNAMicroarray
Version 1.12.0
In Bioconductor since BioC 3.10 (R-3.6) (3.5 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
LinkingTo
Suggests testthat (>= 2.1.0), devtools, BiocManager, TENxPBMCData, scater, schex, gridExtra, scran, Seurat, knitr, rmarkdown
SystemRequirements
Enhances
URL
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 fcoex_1.12.0.tar.gz
Windows Binary fcoex_1.12.0.zip
macOS Binary (x86_64) fcoex_1.12.0.tgz
macOS Binary (arm64) fcoex_1.12.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/fcoex
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/fcoex
Bioc Package Browser https://code.bioconductor.org/browse/fcoex/
Package Short Url https://bioconductor.org/packages/fcoex/
Package Downloads Report Download Stats

Documentation »

Bioconductor

R / CRAN packages and documentation

Support »

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