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.

    source("http://bioconductor.org/biocLite.R")
    biocLite("DEDS")

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