Adversarial regularized autoencoder graph neural network for microbe-disease associations prediction

Abstract Background Microorganisms inhabit various regions of the human body and significantly contribute to numerous diseases. Predicting the associations between microbes and diseases is crucial for understanding pathogenic mechanisms and informing prevention and treatment strategies. Biological e...

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Veröffentlicht in:	Briefings in bioinformatics 2024-09, Vol.25 (6)
Hauptverfasser:	He, Limuxuan, Zou, Quan, Dai, Qi, Cheng, Shuang, Wang, Yansu
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Computational Biology - methods Deep Learning Disease Embedding Graph neural networks Graphical representations Humans Inflammatory bowel diseases Information processing Machine learning Microorganisms Neural networks Neural Networks, Computer Predictions Regularization Review Similarity Structure-function relationships Topology
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