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
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Yuanyuan Xiao , Jean Yee Hwa Yang
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Maintainer
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Yuanyuan Xiao
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Vignettes (Documentation)
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Package Downloads
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Details
biocViews
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Depends
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R, methods
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Suggests
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Imports
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SystemRequirements
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License
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LGPL
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URL
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