r-plgem 1.60.0 Detect differential expression in microarray and proteomics datasets
The Power Law Global Error Model (PLGEM) has been shown to faithfully model the variance-versus-mean dependence that exists in a variety of genome-wide datasets, including microarray and proteomics data. The use of PLGEM has been shown to improve the detection of differentially expressed genes or proteins in these datasets.
- Website: http://www.genopolis.it
- License: GPL 2
- Package source: bioconductor.scm
- Patches: None
- Builds: x86_64-linux, i686-linux