Zobrazeno 1 - 10
of 113
pro vyhledávání: '"Human aging genes"'
Publikováno v:
In Archives of Gerontology and Geriatrics September-October 2021 96
Publikováno v:
BMC Genomics, Vol 20, Iss 1, Pp 1-13 (2019)
Abstract 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 (PPHAG
Externí odkaz:
https://doaj.org/article/2207731695f1480dabdd105fdeac78de
Autor:
Arabfard, Masoud1,2 (AUTHOR), Ohadi, Mina3 (AUTHOR) mi.ohadi@uswr.ac.ir, Rezaei Tabar, Vahid4 (AUTHOR), Delbari, Ahmad3 (AUTHOR), Kavousi, Kaveh2 (AUTHOR) kkavousi@ut.ac.ir
Publikováno v:
BMC Genomics. 11/9/2019, Vol. 20 Issue 1, p1-13. 13p. 1 Diagram, 13 Charts, 4 Graphs.
Akademický článek
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Publikováno v:
BMC Genomics, Vol 20, Iss 1, Pp 1-13 (2019)
BMC Genomics
BMC Genomics
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). Resul
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
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Publikováno v:
Archives of gerontology and geriatrics. 96
While a large wealth of literature on aging pertains to in silico, experimental, and predicted genes, many of those genes do not have validated phenotypic consequences in human. Online Mendelian Inheritance in Man (OMIM) provides an exceptional compe
Additional file 1: Comparison of evaluation metric of three algorithms in the UCI databases.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0afe2598e1c5581f0f991f546084e58e
Autor:
Jan Vijg, Quanwei Zhang, Zhengdong D. Zhang, Wen Zhang, Jhih Rong Lin, Rubén Nogales-Cadenas, Ying Cai
Although studies over the last decades have firmly connected a number of genes and molecular pathways to aging, the aging process as a whole still remains poorly understood. To gain novel insights into the mechanisms underlying aging, instead of cons
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::89e3f9e89a0f905f75da81ee60b5ccc8
https://europepmc.org/articles/PMC6390412/
https://europepmc.org/articles/PMC6390412/
Autor:
Warner HR; Biology of Aging Program at the National Institute on Aging, Bethesda, MD 20892, USA. warnerh@nia.nih.gov
Publikováno v:
Science of aging knowledge environment : SAGE KE [Sci Aging Knowledge Environ] 2003 Feb 12; Vol. 2003 (6), pp. RE1. Date of Electronic Publication: 2003 Feb 12.