DEDS
Differential Expression via Distance Summary for Microarray Data
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.
| Author |
Yuanyuan Xiao , Jean Yee Hwa Yang
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| Maintainer |
Yuanyuan Xiao |
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("DEDS")
Vignettes (Documentation)
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Package Downloads
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Details
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R, methods |
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| License |
LGPL |
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