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GSDA - Gene Set Distance Analysis (GSDA)
The gene-set distance analysis of omic data is implemented by generalizing distance correlations to evaluate the association of a gene set with categorical and censored event-time variables.
Last updated
microarraybioinformaticsgene expression
4.30 score 1 stars 8 scripts 598 downloadsCCPROMISE - PROMISE analysis with Canonical Correlation for Two Forms of High Dimensional Genetic Data
Perform Canonical correlation between two forms of high demensional genetic data, and associate the first compoent of each form of data with a specific biologically interesting pattern of associations with multiple endpoints. A probe level analysis is also implemented.
Last updated
microarraygeneexpression
3.30 score 3 scripts 400 downloads