The tool is based on distinct molecular tumor features identified by The Cancer Genome Atlas Network, according to a Jan. 2 news release from the institute.
Researchers published a paper describing the resource in Cancer Cell, and outlined how it can be used for clinical implementation.
The resource was developed with TCGA data from 8,791 cancer samples from 26 cohorts and 106 subtypes to establish 737 ready-to-use models for clinicians to use for cancer subtype prediction and diagnosis, the release said.
The tool can be accessed online here.
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