Bioconductor version: 2.7
This package provides a set of tools for analyzing data from a factorial designed microarray experiment, or any microarray experiment for which a linear model is appropriate. The functions can be used to evaluate tests of contrast of biological interest and perform single outlier detection.
Author: Denise Scholtens
Maintainer: Denise Scholtens <dscholtens at northwestern.edu>
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("factDesign")
To cite this package in a publication, start R and enter:
citation("factDesign")
| R Script | factDesign | |
| Reference Manual |
| biocViews | Bioinformatics, Microarray, DifferentialExpression |
| Depends | Biobase(>= 2.5.5) |
| Imports | stats |
| Suggests | affy, genefilter |
| System Requirements | |
| License | LGPL |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Version | 1.26.0 |
| Since | Bioconductor 1.6 (R-2.1) or earlier |
| Package Source | factDesign_1.26.0.tar.gz |
| Windows Binary | factDesign_1.26.0.zip (32- & 64-bit) |
| MacOS 10.5 (Leopard) binary | factDesign_1.26.0.tgz |
| Package Downloads Report | Download Stats |
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