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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...
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| Pubblicato in: | Bioinformatics |
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| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Oxford University Press
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7520048/ https://ncbi.nlm.nih.gov/pubmed/32399562 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btaa483 |
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