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.

Getting started

Package details

AuthorYuanyuan Xiao <[email protected]>, Jean Yee Hwa Yang <[email protected]>.
Bioconductor views DifferentialExpression Microarray
MaintainerYuanyuan Xiao <[email protected]>
Package repositoryView on Bioconductor
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DEDS documentation built on Nov. 1, 2018, 4:43 a.m.