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Interpreting linear support vector machine models with heat map molecule coloring
BACKGROUND: Model-based virtual screening plays an important role in the early drug discovery stage. The outcomes of high-throughput screenings are a valuable source for machine learning algorithms to infer such models. Besides a strong performance, the interpretability of a machine learning model i...
| Autores principales: | , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2011
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3076244/ https://www.ncbi.nlm.nih.gov/pubmed/21439031 http://dx.doi.org/10.1186/1758-2946-3-11 |