Drug susceptibility prediction against a panel of drugs using kernelized Bayesian multitask learning

Motivation: Human immunodeficiency virus (HIV) and cancer require personalized therapies owing to their inherent heterogeneous nature. For both diseases, large-scale pharmacogenomic screens of molecularly characterized samples have been generated with the hope of identifying genetic predictors of dr...

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Detalles Bibliográficos
Autores principales: Gönen, Mehmet, Margolin, Adam A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2014
Materias:
Eccb 2014 Proceedings Papers Committee
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4147917/
https://www.ncbi.nlm.nih.gov/pubmed/25161247
http://dx.doi.org/10.1093/bioinformatics/btu464

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4147917/
https://www.ncbi.nlm.nih.gov/pubmed/25161247
http://dx.doi.org/10.1093/bioinformatics/btu464

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