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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...
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| Autors principals: | , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Oxford University Press
2014
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4147917/ https://ncbi.nlm.nih.gov/pubmed/25161247 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btu464 |
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