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 <email@example.com>, Jean Yee Hwa Yang <firstname.lastname@example.org>.|
|Bioconductor views||DifferentialExpression Microarray|
|Maintainer||Yuanyuan Xiao <email@example.com>|
|Package repository||View on Bioconductor|
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