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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.
Package details |
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Author | Yuanyuan Xiao <yxiao@itsa.ucsf.edu>, Jean Yee Hwa Yang <jeany@maths.usyd.edu.au>. |
Bioconductor views | DifferentialExpression Microarray |
Maintainer | Yuanyuan Xiao <yxiao@itsa.ucsf.edu> |
License | LGPL |
Version | 1.60.0 |
Package repository | View on Bioconductor |
Installation |
Install the latest version of this package by entering the following in R:
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