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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...
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| Publicado no: | Curr Opin Biotechnol |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7308204/ https://ncbi.nlm.nih.gov/pubmed/31962244 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.copbio.2019.12.021 |
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