SAGx
Statistical Analysis of the GeneChip
Bioconductor version: 2.10
A package for retrieval, preparation and analysis of data from the Affymetrix GeneChip. In particular the issue of identifying differentially expressed genes is addressed.
Author: Per Broberg
Maintainer: Per Broberg, <pi.broberg at gmail.com>
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("SAGx")
To cite this package in a publication, start R and enter:
citation("SAGx")
Documentation
| R Script | samroc - example | |
| Reference Manual |
Details
| biocViews | Bioinformatics, Clustering, DataImport, DifferentialExpression, Microarray, MultipleComparisons, OneChannel, Preprocessing, Software |
| Depends | R (>= 2.5.0), stats, multtest, methods |
| Imports | Biobase, stats4 |
| Suggests | KEGG.db, hu6800.db, MASS |
| System Requirements | |
| License | GPL-3 |
| URL | http://home.swipnet.se/pibroberg/expression_hemsida1.html |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Version | 1.30.0 |
| Since | Bioconductor 1.9 (R-2.4) |
Package Downloads
| Package Source | SAGx_1.30.0.tar.gz |
| Windows Binary | SAGx_1.30.0.zip (32- & 64-bit) |
| MacOS 10.5 (Leopard) binary | SAGx_1.30.0.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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