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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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Dades bibliogràfiques
Publicat a:BMC Genomics
Autors principals: Arabfard, Masoud, Ohadi, Mina, Rezaei Tabar, Vahid, Delbari, Ahmad, Kavousi, Kaveh
Format: Artigo
Idioma:Inglês
Publicat: BioMed Central 2019
Matèries:
Accés en línia: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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