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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...
Autores principales: | Barardo, Diogo G., Newby, Danielle, Thornton, Daniel, Ghafourian, Taravat, de Magalhães, João Pedro, Freitas, Alex A. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2017
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Materias: | |
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 |
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