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Genome-wide prediction and prioritization of human aging genes by data fusion: a machine learning approach
BACKGROUND: Machine learning can effectively nominate novel genes for various research purposes in the laboratory. On a genome-wide scale, we implemented multiple databases and algorithms to predict and prioritize the human aging genes (PPHAGE). RESULTS: We fused data from 11 databases, and used Naï...
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| Publicado no: | BMC Genomics |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6842548/ https://ncbi.nlm.nih.gov/pubmed/31706268 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12864-019-6140-0 |
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