Bioconductor version: Release (3.6)
(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 and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("fCI")
HTML | R Script | fCI |
Reference Manual |
biocViews | Proteomics, Software |
Version | 1.8.0 |
In Bioconductor since | BioC 3.2 (R-3.2) (2.5 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 |
Follow Installation instructions to use this package in your R session.
Source Package | fCI_1.8.0.tar.gz |
Windows Binary | fCI_1.8.0.zip |
Mac OS X 10.11 (El Capitan) | fCI_1.8.0.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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