bioconductor-plgem
Detect differential expression in microarray and proteomics datasets with the Power Law Global Error Model (PLGEM)
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Description
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.
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Summary
Detect differential expression in microarray and proteomics datasets with the Power Law Global Error Model (PLGEM)
Last Updated
Dec 16, 2024 at 19:56
License
GPL-2
Total Downloads
43.7K
Supported Platforms
noarch
Unsupported Platforms
linux-64 Last supported version: 1.52.0
macOS-64 Last supported version: 1.52.0