fCI
f-divergence Cutoff Index for Differential Expression Analysis in Transcriptomics and Proteomics
Bioconductor version: Release (3.20)
(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("fCI")
):
Installation
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("fCI")
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("fCI")
fCI | HTML | R Script |
Reference Manual |
Details
biocViews | Proteomics, Software |
Version | 1.36.0 |
In Bioconductor since | BioC 3.2 (R-3.2) (9 years) |
License | GPL (>= 2) |
Depends | R (>= 3.1), FNN, psych, gtools, zoo, rgl, grid, VennDiagram |
Imports | |
System Requirements | |
URL |
See More
Suggests | knitr, rmarkdown, BiocStyle |
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 | fCI_1.36.0.tar.gz |
Windows Binary (x86_64) | fCI_1.36.0.zip (64-bit only) |
macOS Binary (x86_64) | fCI_1.36.0.tgz |
macOS Binary (arm64) | fCI_1.36.0.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/ |
Package Downloads Report | Download Stats |