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Integrating biological knowledge and gene expression data using pathway-guided random forests: a benchmarking study
MOTIVATION: High-throughput technologies allow comprehensive characterization of individuals on many molecular levels. However, training computational models to predict disease status based on omics data is challenging. A promising solution is the integration of external knowledge about structural a...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7520048/ https://www.ncbi.nlm.nih.gov/pubmed/32399562 http://dx.doi.org/10.1093/bioinformatics/btaa483 |