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Fast and interpretable genomic data analysis using multiple approximate kernel learning
MOTIVATION: Dataset sizes in computational biology have been increased drastically with the help of improved data collection tools and increasing size of patient cohorts. Previous kernel-based machine learning algorithms proposed for increased interpretability started to fail with large sample sizes...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9235505/ https://www.ncbi.nlm.nih.gov/pubmed/35758810 http://dx.doi.org/10.1093/bioinformatics/btac241 |