RPA
RPA: probe reliability and differential gene expression analysis
Bioconductor version: 2.5
Method for analysing probe reliability and differential gene expression on short oligonucleotide arrays as described in Lahti et al. TCBB/IEEE, to appear.
Author: Leo Lahti <leo.lahti at tkk.fi>
Maintainer: Leo Lahti <leo.lahti at tkk.fi>
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("RPA")
To cite this package in a publication, start R and enter:
citation("RPA")
Documentation
| R Script | RPA | |
| Reference Manual |
Details
| biocViews | GeneExpression, Microarray, Preprocessing, QualityControl |
| Depends | R (>= 2.10.0), affy, affydata, methods |
| Imports | |
| Suggests | |
| System Requirements | |
| License | GPL (>= 2) |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Version | 1.2.0 |
| Since | Bioconductor 2.5 (R-2.10) |
Package Downloads
| Package Source | RPA_1.2.0.tar.gz |
| Windows Binary | RPA_1.2.0.zip (32- & 64-bit) |
| MacOS 10.5 (Leopard) binary | RPA_1.2.0.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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