Machine learning for predicting lifespan-extending chemical compounds

Increasing age is a risk factor for many diseases; therefore developing pharmacological interventions that slow down ageing and consequently postpone the onset of many age-related diseases is highly desirable. In this work we analyse data from the DrugAge database, which contains chemical compounds...

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Detalles Bibliográficos
Autores principales: Barardo, Diogo G., Newby, Danielle, Thornton, Daniel, Ghafourian, Taravat, de Magalhães, João Pedro, Freitas, Alex A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2017
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5559171/
https://www.ncbi.nlm.nih.gov/pubmed/28783712
http://dx.doi.org/10.18632/aging.101264

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5559171/
https://www.ncbi.nlm.nih.gov/pubmed/28783712
http://dx.doi.org/10.18632/aging.101264

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