Article

netDx: Software for building interpretable patient classifiers by multi-'omic data integration using patient similarity networks

2021-01-22

Abstract excerpt

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 method to integrate multi-modal patient data and build a patient classifier. Patient data are converted into networks of...

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Literature Corpus work: c737d595-218e-5814-8264-968a204f81d6
DOI: 10.12688/f1000research.26429.2

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