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Article

An active learning framework improves tumor variant interpretation

2021-11-09

Abstract excerpt

For precision medicine to reach its full potential for treatment of cancer and other diseases, protein variant effect prediction tools are needed that characterize variants of unknown significance (VUS) in a patient’s genome with respect to their likelihood to influence treatment response and outcomes. However, the performance of most variant prediction tools is limited by the difficulty of acquiring sufficient tr...

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Literature Corpus work
10d56c27-d767-5eae-8402-186e3bd9d633
DOI
10.1101/2021.11.08.467747
Open publication

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An active learning framework improves tumor variant interpretationDOI 10.1101/2021.11.08.467747
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