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GCNPMDA Human Microbe Disease Association Prediction 2025 Biomedical Signal by 22je0766 is a document available to read on EtoBox.

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The document presents a novel computational model called GCNPMDA, which predicts human microbe-disease associations using a hierarchical graph convolutional network with layer attention mechanisms. The model integrates known associations and similarities into a heterogeneous network and demonstrates high predictive efficacy with an AUC of 0.98 in cross-validation tests. Case studies on diseases like type 2 diabetes and inflammatory bowel disease confirm the model

Author

22je0766

Language

EN