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...
| Main Authors: | , , , , , |
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| Format: | Journal article |
| Published: |
Impact Journals
2017
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