Enhancing drug and cell line representations via contrastive learning for improved anti-cancer drug prioritization
Patrick J. Lawrence,
Benjamin Burns,
Xia Ning
Abstract:Due to cancer’s complex nature and variable response to therapy, precision oncology informed by omics sequence analysis has become the current standard of care. However, the amount of data produced for each patient makes it difficult to quickly identify the best treatment regimen. Moreover, limited data availability has hindered computational methods’ abilities to learn patterns associated with effective drug-cell line pairs. In this work, we propose the use of contrastive learning to improve learned drug and … Show more
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