An Active Learning Framework Improves Tumor Variant Interpretation.

Cancer Res

Department of Biochemistry and Center for Structural Biology, Vanderbilt University, Nashville, Tennessee.

Published: August 2022


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Article Abstract

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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9357215PMC
http://dx.doi.org/10.1158/0008-5472.CAN-21-3798DOI Listing

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