Predicting potential microbe-disease associations based on auto-encoder and graph convolution network
Shanghui Lu,
Yong Liang,
Le Li
et al.
Abstract:The increasing body of research has consistently demonstrated the intricate correlation between the human microbiome and human well-being. Microbes can impact the efficacy and toxicity of drugs through various pathways, as well as influence the occurrence and metastasis of tumors. In clinical practice, it is crucial to elucidate the association between microbes and diseases. Although traditional biological experiments accurately identify this association, they are time-consuming, expensive, and susceptible to … Show more
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