Article

netDx: Interpretable patient classification using integrated patient similarity networks

2016-10-31

Abstract excerpt

Patient classification has widespread biomedical and clinical applications, including diagnosis, prognosis and treatment response prediction. A clinically useful prediction algorithm should be accurate, generalizable, be able to integrate diverse data types, and handle sparse data. A clinical predictor based on genomic data needs to be easily interpretable to drive hypothesis-driven research into new treatments. W...

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Literature Corpus work: e3704571-55b5-5891-ba69-f320fa1faa1b
DOI: 10.1101/084418

Open publication

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