Article

Out-of-Distribution Generalization from Labeled and Unlabeled Gene Expression Data for Drug Response Prediction

2021-05-26

Abstract excerpt

Data discrepancy between preclinical and clinical datasets poses a major challenge for accurate drug response prediction based on gene expression data. Different methods of transfer learning have been proposed to address this data discrepancy. These methods generally use cell lines as source domains and patients, patient-derived xenografts, or other cell lines as target domains. However, they assume that they have...

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Literature Corpus work: e0538b19-f947-5892-afe2-82584f4f6061
DOI: 10.1101/2021.05.25.445658

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Out-of-Distribution Generalization from Labeled and Unlabeled Gene Expression Data for Drug Response PredictionDOI 10.1101/2021.05.25.445658Read

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