| Literature DB >> 35687855 |
Alexandra M Blee1, Bian Li2, Turner Pecen3, Jens Meiler4,5, Zachary D Nagel3, John A Capra6, Walter J Chazin1,4.
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. ©2022 American Association for Cancer Research.Entities:
Mesh:
Year: 2022 PMID: 35687855 PMCID: PMC9357215 DOI: 10.1158/0008-5472.CAN-21-3798
Source DB: PubMed Journal: Cancer Res ISSN: 0008-5472 Impact factor: 13.312