To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("fCI")
In most cases, you don't need to download the package archive at all.
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This package is for version 3.4 of Bioconductor; for the stable, up-to-date release version, see fCI.
Bioconductor version: 3.4
(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 | 1.4.0 |
| In Bioconductor since | BioC 3.2 (R-3.2) (1.5 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.
| Package Source | fCI_1.4.0.tar.gz |
| Windows Binary | fCI_1.4.0.zip |
| Mac OS X 10.9 (Mavericks) | fCI_1.4.0.tgz |
| Subversion source | (username/password: readonly) |
| Git source | https://github.com/Bioconductor-mirror/fCI/tree/release-3.4 |
| Package Short Url | http://bioconductor.org/packages/fCI/ |
| Package Downloads Report | Download Stats |
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