CGEN
An R package for analysis of case-control studies in genetic epidemiology
Bioconductor version: 2.10
An R package for analysis of case-control studies in genetic epidemiology
Author: Samsiddhi Bhattacharjee, Nilanjan Chatterjee and William Wheeler
Maintainer: William Wheeler <wheelerb at imsweb.com>
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("CGEN")
To cite this package in a publication, start R and enter:
citation("CGEN")
Documentation
| R Script | CGEN Vignette | |
| Reference Manual | ||
| Text | NEWS | |
| Text | LICENSE |
Details
| biocViews | Clustering, MultipleComparisons, SNP, Software |
| Depends | R (>= 2.10.1), survival, cluster |
| Imports | |
| Suggests | cluster |
| System Requirements | |
| License | GPL-2 + file LICENSE |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Version | 1.8.0 |
| Since | Bioconductor 2.7 (R-2.12) |
Package Downloads
| Package Source | CGEN_1.8.0.tar.gz |
| Windows Binary | CGEN_1.8.0.zip (32- & 64-bit) |
| MacOS 10.5 (Leopard) binary | CGEN_1.8.0.tgz |
| Package Downloads Report | Download Stats |
Common Bioconductor workflows include:
- Oligonucleotide Arrays
- High-throughput Sequencing
- Annotation
- Variants
- Flow Cytometry and other assays
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