Article

TransCDR: a deep learning model for enhancing the generalizability of drug activity prediction through transfer learning and multimodal data fusion

2024-01-22

Abstract excerpt

Accurate and robust drug response prediction is of utmost importance in precision medicine. Although many models have been developed to utilize the representations of drugs and cancer cell lines for predicting cancer drug responses (CDR), their performances can be improved by addressing issues such as insufficient data modality, suboptimal fusion algorithms, and poor generalizability for novel drugs or cell lines....

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Literature Corpus work: c2d38a94-e67f-5ab9-933b-cc9d06e9e81b
DOI: 10.21203/rs.3.rs-3875661/v1

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