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Predicting lifespan-extending chemical compounds for C. elegans with machine learning and biologically interpretable features
Recently, there has been a growing interest in the development of pharmacological interventions targeting ageing, as well as in the use of machine learning for analysing ageing-related data. In this work, we use machine learning methods to analyse data from DrugAge, a database of chemical compounds...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Impact Journals
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10373959/ https://www.ncbi.nlm.nih.gov/pubmed/37450404 http://dx.doi.org/10.18632/aging.204866 |