RPA
RPA: probe reliability and differential gene expression analysis
Bioconductor version: 2.7
Probabilistic analysis of probe reliability and differential gene expression on short oligonucleotide arrays as described in Leo Lahti et al. "Probabilistic Analysis of Probe Reliability in Differential Gene Expression Studies with Short Oligonucleotide Arrays", TCBB/IEEE, to appear. See http://doi.ieeecomputersociety.org/10.1109/TCBB.2009.38
Author: Leo Lahti <leo.lahti at iki.fi>
Maintainer: Leo Lahti <leo.lahti at iki.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 (>= 2.11.0), affy, affydata, methods |
| Imports | |
| Suggests | |
| System Requirements | |
| License | GPL (>= 2) |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Version | 1.6.0 |
| Since | Bioconductor 2.5 (R-2.10) |
Package Downloads
| Package Source | RPA_1.6.0.tar.gz |
| Windows Binary | RPA_1.6.0.zip (32- & 64-bit) |
| MacOS 10.5 (Leopard) binary | RPA_1.6.0.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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