fcoex

This package is for version 3.10 of Bioconductor. This package has been removed from Bioconductor. For the last stable, up-to-date release version, see fcoex.

FCBF-based Co-Expression Networks for Single Cells


Bioconductor version: 3.10

The fcoex package implements an easy-to use interface to co-expression analysisbased 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 based on the CEMiTool package.

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 "3.6") 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")
fcoex: co-expression for single-cell data HTML R Script
Reference Manual PDF
NEWS Text

Details

biocViews GeneExpression, GraphAndNetwork, ImmunoOncology, Network, NetworkEnrichment, Pathways, RNASeq, SingleCell, Software, Transcriptomics, mRNAMicroarray
Version 1.0.0
In Bioconductor since BioC 3.10 (R-3.6) (4.5 years)
License GPL-3
Depends R (>= 3.6)
Imports FCBF, parallel, progress, dplyr, ggplot2, ggrepel, igraph, grid, intergraph, stringr, clusterProfiler, data.table, grDevices, methods, network, scales, sna, utils, stats, SingleCellExperiment, pathwayPCA
System Requirements
URL
See More
Suggests testthat (>= 2.1.0), devtools, BiocManager, TENxPBMCData, scater, gridExtra, scran, Seurat, knitr
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package fcoex_1.0.0.tar.gz
Windows Binary fcoex_1.0.0.zip
Mac OS X 10.11 (El Capitan) fcoex_1.0.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/fcoex
Source Repository (Developer Access) git clone [email protected]:packages/fcoex
Bioc Package Browser https://code.bioconductor.org/browse/fcoex/
Package Short Url https://bioconductor.org/packages/fcoex/
Package Downloads Report Download Stats
Old Source Packages for BioC 3.10 Source Archive