GLaD
:: DESCRIPTION
GLAD is a mixed-membership classification model that simultaneously learns a sparse biomarker signature for each subtype as well as a distribution over subtypes for each sample.
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::DEVELOPER
:: SCREENSHOTS
N/A
:: REQUIREMENTS
- Windows/Linux
- Python
:: DOWNLOAD
:: MORE INFORMATION
Citation
GLAD: A mixed-membership model for heterogeneous tumor subtype classification.
Saddiki H, McAuliffe J, Flaherty P.
Bioinformatics. 2014 Sep 29. pii: btu618.