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Abstract

Molecular phenotypes, or subtypes, can describe cancer as distinct diseases within primary tissues-of-origin. Machine learning (ML) can be applied to this molecular taxonomy of cancer for classifying newly diagnosed samples in supporting clinical decision making and informing development of molecular therapeutics.

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