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Enabling interpretable machine learning for biological data with reliability scores
Machine learning tools have proven useful across biological disciplines, allowing researchers to draw conclusions from large datasets, and opening up new opportunities for interpreting complex and heterogeneous biological data. Alongside the rapid growth of machine learning, there have also been gro...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10249903/ https://www.ncbi.nlm.nih.gov/pubmed/37235578 http://dx.doi.org/10.1371/journal.pcbi.1011175 |