Leveraging multi-way interactions for systematic prediction of pre-clinical drug combination effects

We present comboFM, a machine learning framework for predicting the responses of drug combinations in pre-clinical studies, such as those based on cell lines or patient-derived cells. comboFM models the cell context-specific drug interactions through higher-order tensors, and efficiently learns late...

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Detalles Bibliográficos
Autores principales: Julkunen, Heli, Cichonska, Anna, Gautam, Prson, Szedmak, Sandor, Douat, Jane, Pahikkala, Tapio, Aittokallio, Tero, Rousu, Juho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7708835/
https://www.ncbi.nlm.nih.gov/pubmed/33262326
http://dx.doi.org/10.1038/s41467-020-19950-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7708835/
https://www.ncbi.nlm.nih.gov/pubmed/33262326
http://dx.doi.org/10.1038/s41467-020-19950-z

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