An Active Learning Framework Improves Tumor Variant Interpretation.

ABSTRACT:

Significance

A novel machine learning approach predicts the impact of tumor mutations on cellular phenotypes, overcomes limited training data, minimizes costly functional validation, and advances efforts to implement cancer precision medicine.

SUBMITTER: Blee AM 

PROVIDER: S-EPMC9357215 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature