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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Oxford University Press
2014
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| 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 |