Gene-SGAN: discovering disease subtypes with imaging and genetic signatures via multi-view weakly-supervised deep clustering

Disease heterogeneity has been a critical challenge for precision diagnosis and treatment, especially in neurologic and neuropsychiatric diseases. Many diseases can display multiple distinct brain phenotypes across individuals, potentially reflecting disease subtypes that can be captured using MRI a...

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Bibliographic Details
Published in:	Nature communications Vol. 15; no. 1; pp. 354 - 16
Main Authors:	Yang, Zhijian, Wen, Junhao, Abdulkadir, Ahmed, Cui, Yuhan, Erus, Guray, Mamourian, Elizabeth, Melhem, Randa, Srinivasan, Dhivya, Govindarajan, Sindhuja T., Chen, Jiong, Habes, Mohamad, Masters, Colin L., Maruff, Paul, Fripp, Jurgen, Ferrucci, Luigi, Albert, Marilyn S., Johnson, Sterling C., Morris, John C., LaMontagne, Pamela, Marcus, Daniel S., Benzinger, Tammie L. S., Wolk, David A., Shen, Li, Bao, Jingxuan, Resnick, Susan M., Shou, Haochang, Nasrallah, Ilya M., Davatzikos, Christos
Format:	Journal Article
Language:	English
Published:	London Nature Publishing Group UK 08.01.2024 Nature Publishing Group Nature Portfolio
Subjects:	38/43 59/57 631/114/1305 639/705/117 692/308/2056 692/699/375/365 692/700/1421/1628 Alzheimer Disease - diagnostic imaging Alzheimer Disease - genetics Alzheimer's disease Anatomy Biomarkers Brain Brain - diagnostic imaging Brain architecture Cluster Analysis Clustering Deep learning Disease Endophenotypes Gene polymorphism Genetic factors Health services Heterogeneity Humanities and Social Sciences Humans Hypertension Machine learning Magnetic resonance imaging Medical imaging Mental disorders multidisciplinary Neurodegenerative diseases Neuroimaging Nucleotides Phenotypes Polymorphism Science Science (multidisciplinary) Single-nucleotide polymorphism Susceptibility
ISSN:	2041-1723, 2041-1723
Online Access:	Get full text
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