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Incorporating biological structure into machine learning models in biomedicine
In biomedical applications of machine learning, relevant information often has a rich structure that is not easily encoded as real-valued predictors. Examples of such data include DNA or RNA sequences, gene sets or pathways, gene interaction or coexpression networks, ontologies, and phylogenetic tre...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7308204/ https://www.ncbi.nlm.nih.gov/pubmed/31962244 http://dx.doi.org/10.1016/j.copbio.2019.12.021 |