Predicting Parkinson's Disease Genes Based on Node2vec and Autoencoder
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DOI: 10.3389/fgene.2019.00226
Abstract: Identifying genes associated with Parkinson's disease plays an extremely important role in the diagnosis and treatment of Parkinson's disease. In recent years, based on the guilt-by-association hypothesis, many methods have been proposed to predict disease-related… read more here.
Keywords: genes based; disease; n2a svm; parkinson disease ... See more keywords