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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6842548/ https://www.ncbi.nlm.nih.gov/pubmed/31706268 http://dx.doi.org/10.1186/s12864-019-6140-0 |