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A new approach for interpreting Random Forest models and its application to the biology of ageing
MOTIVATION: This work uses the Random Forest (RF) classification algorithm to predict if a gene is over-expressed, under-expressed or has no change in expression with age in the brain. RFs have high predictive power, and RF models can be interpreted using a feature (variable) importance measure. How...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6041990/ https://www.ncbi.nlm.nih.gov/pubmed/29462247 http://dx.doi.org/10.1093/bioinformatics/bty087 |