Ensemble transfer learning for the prediction of anti-cancer drug response

Transfer learning, which transfers patterns learned on a source dataset to a related target dataset for constructing prediction models, has been shown effective in many applications. In this paper, we investigate whether transfer learning can be used to improve the performance of anti-cancer drug re...

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Detalles Bibliográficos
Autores principales: Zhu, Yitan, Brettin, Thomas, Evrard, Yvonne A., Partin, Alexander, Xia, Fangfang, Shukla, Maulik, Yoo, Hyunseung, Doroshow, James H., Stevens, Rick L.
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/PMC7581765/
https://www.ncbi.nlm.nih.gov/pubmed/33093487
http://dx.doi.org/10.1038/s41598-020-74921-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7581765/
https://www.ncbi.nlm.nih.gov/pubmed/33093487
http://dx.doi.org/10.1038/s41598-020-74921-0

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