Protein Interaction Network-based Deep Learning Framework for Identifying Disease-Associated Human Proteins
Journal of Molecular Biology（2021）
摘要
•Identification of novel disease-associated proteins for novel therapeutic targets.•Machine learning-based model to identify disease-associated host proteins.•Integration of network topological features allows the prediction accuracy of 83.5%.•Our predictions are validated against experimental evidence.•The model will provide crucial insights on disease pathogenesis.
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关键词
deep learning-based classification,graph convolutional networks,disease-associated proteins,topological features of protein locality graph,enrichment analysis
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