Systematic identification of feature combinations for predicting drug response with Bayesian multi-view multi-task linear regression

MOTIVATION: A prime challenge in precision cancer medicine is to identify genomic and molecular features that are predictive of drug treatment responses in cancer cells. Although there are several computational models for accurate drug response prediction, these often lack the ability to infer which...

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Detalles Bibliográficos
Autores principales: Ammad-ud-din, Muhammad, Khan, Suleiman A, Wennerberg, Krister, Aittokallio, Tero
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Ismb/Eccb 2017: The 25th Annual Conference Intelligent Systems for Molecular Biology Held Jointly with the 16th Annual European Conference on Computational Biology, Prague, Czech Republic, July 21–25, 2017
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5870540/
https://www.ncbi.nlm.nih.gov/pubmed/28881998
http://dx.doi.org/10.1093/bioinformatics/btx266

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5870540/
https://www.ncbi.nlm.nih.gov/pubmed/28881998
http://dx.doi.org/10.1093/bioinformatics/btx266

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