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MMRD classification

Doga C. Gulhan edited this page Sep 29, 2020 · 6 revisions

This page is under construction

MMRD classification

Based on signatures likelihoods only

Step1: Use run() function to calculate signatures

Step2: Use lite_df(), summarizes the findings and creates general categories based on signature likelihoods.

Using gradient boosting classifier combining microsatellite instability and mutational signatures

Currently available for tcga_mc3 and msk data settings. Example can be found in SigMA/examples/run_SigMA_MMRD.R

Step1: Run SigMA for signature estimations

Step2: Run classification

cd SigMA/examples/
Rscript run_SigMA_MMRD.R
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