To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("http://bioc.ism.ac.jp/biocLite.R")
biocLite("fCI")

In most cases, you don't need to download the package archive at all.

fCI

DOI: 10.18129/B9.bioc.fCI    

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

Bioconductor version: Release (3.5)

(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")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("http://bioc.ism.ac.jp/biocLite.R")
biocLite("fCI")

Documentation

HTML R Script fCI
PDF   Reference Manual

Details

biocViews Proteomics, Software
Version 1.6.0
In Bioconductor since BioC 3.2 (R-3.2) (2 years)
License GPL (>= 2)
Depends R (>= 3.1), FNN, psych, gtools, zoo, rgl, grid, VennDiagram
Imports
LinkingTo
Suggests knitr, rmarkdown, BiocStyle
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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

Source Package fCI_1.6.0.tar.gz
Windows Binary fCI_1.6.0.zip
Mac OS X 10.11 (El Capitan) fCI_1.6.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/fCI
Package Short Url http://bioconductor.org/packages/fCI/
Package Downloads Report Download Stats

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