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 |
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("factDesign")
| factDesign | R Script | |
|---|---|---|
| Reference Manual |
| biocViews | |
|---|---|
| Depends | |
| Imports |
genefilter
,
stats
|
| Suggests | |
| System Requirements | |
| License | LGPL |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Development History | Bioconductor Changelog |
| Package source | factDesign_1.20.0.tar.gz |
|---|---|
| Windows binary | factDesign_1.20.0.zip |
| MacOS X 10.4 (Tiger) binary | factDesign_1.20.0.tgz |
| MacOS X 10.5 (Leopard) binary | factDesign_1.20.0.tgz |
| Package Downloads Report | Downloads Stats |