sigaR
statistics for integrative genomics analyses in R
Bioconductor version: 2.10
Facilites the joint analysis of high-throughput data from multiple molecular levels. Contains functions for manipulation of objects, various analysis types, and some visualization.
Author: Wessel N. van Wieringen <w.vanwieringen at vumc.nl>
Maintainer: Wessel N. van Wieringen <w.vanwieringen at vumc.nl>
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("sigaR")
To cite this package in a publication, start R and enter:
citation("sigaR")
Documentation
| R Script | sigaR | |
| Reference Manual |
Details
| biocViews | Bioinformatics, DifferentialExpression, GeneExpression, Microarray, Pathways, Software, aCGH |
| Depends | Biobase, CGHbase, corpcor (>= 1.6.2), methods |
| Imports | graphics, marray, MASS, mvtnorm, quadprog, snowfall, stats |
| Suggests | |
| System Requirements | |
| License | GPL (>= 2) |
| URL | http://www.few.vu.nl/~wvanwie |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Version | 1.0.0 |
| Since | Bioconductor 2.10 (R-2.15) |
Package Downloads
| Package Source | sigaR_1.0.0.tar.gz |
| Windows Binary | sigaR_1.0.0.zip (32- & 64-bit) |
| MacOS 10.5 (Leopard) binary | sigaR_1.0.0.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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