This library contains functions that calculate various statistics of differential expression for microarray data, including t statistics, fold change, F statistics, SAM, moderated t and F statistics and B statistics. It also implements a new methodology called DEDS (Differential Expression via Distance Summary), which selects differentially expressed genes by integrating and summarizing a set of statistics using a weighted distance approach.
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("DEDS")
| Source | DEDS_1.14.0.tar.gz |
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| Windows binary | DEDS_1.14.0.zip |
| OS X binary | DEDS_1.14.0.tgz |
| biocViews | |
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| Depends | R, methods |
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| License | LGPL |
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