Interpretable deep recommender system model for prediction of kinase inhibitor efficacy across cancer cell lines

Abstract Computational models for drug sensitivity prediction have the potential to significantly improve personalized cancer medicine. Drug sensitivity assays, combined with profiling of cancer cell lines and drugs become increasingly available for training such models. Multiple methods were propos...

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Autores principales: Krzysztof Koras, Ewa Kizling, Dilafruz Juraeva, Eike Staub, Ewa Szczurek
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/5ca6b6ee38d84c60b90d71aa1aaab0aa
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