Article
Using Transcriptional Signatures to Find Cancer Drivers with LURE.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing - 1 Jan 2020
Haan David, Tao Ruikang, Friedl Verena, Anastopoulos Ioannis N, Wong Christopher K, Weinstein Alana S, Stuart Joshua M
Abstract excerpt
Cancer genome projects have produced multidimensional datasets on thousands of samples. Yet, depending on the tumor type, 5-50% of samples have no known driving event. We introduce a semi-supervised method called Learning UnRealized Events (LURE) that uses a progressive label learning framework and minimum spanning analysis to predict cancer drivers based on their altered samples sharing a gene expression...
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