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Drug-induced adverse events prediction with the LINCS L1000 data
Motivation: Adverse drug reactions (ADRs) are a central consideration during drug development. Here we present a machine learning classifier to prioritize ADRs for approved drugs and pre-clinical small-molecule compounds by combining chemical structure (CS) and gene expression (GE) features. The GE...
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| Publicat a: | Bioinformatics |
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| Autors principals: | , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Oxford University Press
2016
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4965635/ https://ncbi.nlm.nih.gov/pubmed/27153606 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btw168 |
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