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netDx: Software for building interpretable patient classifiers by multi-'omic data integration using patient similarity networks
Patient classification based on clinical and genomic data will further the goal of precision medicine. Interpretability is of particular relevance for models based on genomic data, where sample sizes are relatively small (in the hundreds), increasing overfitting risk netDx is a machine learning meth...
Tallennettuna:
| Julkaisussa: | F1000Res |
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| Päätekijät: | , , , , , , , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
F1000 Research Limited
2021
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7883323/ https://ncbi.nlm.nih.gov/pubmed/33628435 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.12688/f1000research.26429.2 |
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