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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...

Täydet tiedot

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Bibliografiset tiedot
Julkaisussa:F1000Res
Päätekijät: Pai, Shraddha, Weber, Philipp, Isserlin, Ruth, Kaka, Hussam, Hui, Shirley, Shah, Muhammad Ahmad, Giudice, Luca, Giugno, Rosalba, Nøhr, Anne Krogh, Baumbach, Jan, Bader, Gary D.
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: F1000 Research Limited 2021
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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