A cross-study analysis of drug response prediction in cancer cell lines

To enable personalized cancer treatment, machine learning models have been developed to predict drug response as a function of tumor and drug features. However, most algorithm development efforts have relied on cross-validation within a single study to assess model accuracy. While an essential first...

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Detalles Bibliográficos
Autores principales: Xia, Fangfang, Allen, Jonathan, Balaprakash, Prasanna, Brettin, Thomas, Garcia-Cardona, Cristina, Clyde, Austin, Cohn, Judith, Doroshow, James, Duan, Xiaotian, Dubinkina, Veronika, Evrard, Yvonne, Fan, Ya Ju, Gans, Jason, He, Stewart, Lu, Pinyi, Maslov, Sergei, Partin, Alexander, Shukla, Maulik, Stahlberg, Eric, Wozniak, Justin M, Yoo, Hyunseung, Zaki, George, Zhu, Yitan, Stevens, Rick
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8769697/
https://www.ncbi.nlm.nih.gov/pubmed/34524425
http://dx.doi.org/10.1093/bib/bbab356

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8769697/
https://www.ncbi.nlm.nih.gov/pubmed/34524425
http://dx.doi.org/10.1093/bib/bbab356

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