Associating brain imaging phenotypes and genetic risk factors via a hypergraph based netNMF method.

Junli Zhuang,Jinping Tian,Xiaoxing Xiong, Taihan Li,Zhengwei Chen, Rong Chen, Jun Chen,Xiang Li

Frontiers in aging neuroscience（2023）

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摘要

Finally, this paper used the risk ROI and key genes of the AD and MCI groups to construct diagnostic models. The AUC of the AD group and MCI group were 0.8 and 0.797, respectively.

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Alzheimer’s disease,biomarkers,hypergraph learning,mild cognitive impairment,non-negative matrix factorization

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