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 <>, Jean Yee Hwa Yang <>.
Bioconductor views DifferentialExpression Microarray
MaintainerYuanyuan Xiao <>
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
if (!requireNamespace("BiocManager", quietly = TRUE))


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DEDS documentation built on Oct. 31, 2019, 3:15 a.m.