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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Detalles Bibliográficos
Autores principales: Arabfard, Masoud, Ohadi, Mina, Rezaei Tabar, Vahid, Delbari, Ahmad, Kavousi, Kaveh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research Article
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

Internet

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

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