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f-divergence Cutoff Index for Differential Expression Analysis in Transcriptomics and Proteomics

Bioconductor version: Release (3.18)

(f-divergence Cutoff Index), is to find DEGs in the transcriptomic & proteomic data, and identify DEGs by computing the difference between the distribution of fold-changes for the control-control and remaining (non-differential) case-control gene expression ratio data. fCI provides several advantages compared to existing methods.

Author: Shaojun Tang

Maintainer: Shaojun Tang <tangshao2008 at gmail.com>

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


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

fCI HTML R Script
Reference Manual PDF


biocViews Proteomics, Software
Version 1.32.0
In Bioconductor since BioC 3.2 (R-3.2) (8.5 years)
License GPL (>= 2)
Depends R (>= 3.1), FNN, psych, gtools, zoo, rgl, grid, VennDiagram
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Suggests knitr, rmarkdown, BiocStyle
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Follow Installation instructions to use this package in your R session.

Source Package fCI_1.32.0.tar.gz
Windows Binary fCI_1.32.0.zip (64-bit only)
macOS Binary (x86_64) fCI_1.32.0.tgz
macOS Binary (arm64) fCI_1.32.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/fCI
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/fCI
Bioc Package Browser https://code.bioconductor.org/browse/fCI/
Package Short Url https://bioconductor.org/packages/fCI/
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