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

Authors

Zhijian Yang, University of Pennsylvania
John C Morris, Washington University School of Medicine in St. Louis
Pamela LaMontagne, Washington University School of Medicine in St. Louis
Daniel S Marcus, Washington University School of Medicine in St. Louis
Tammie L S Benzinger, Washington University School of Medicine in St. Louis
et al.

Journal

Nature Communications

Publication Date

1-8-2024

Volume

15

Issue

1

First Page

354

Document Type

Open Access Publication

DOI

10.1038/s41467-023-44271-2

Rights and Permissions

Yang, Z., Wen, J., Abdulkadir, A. et al. Gene-SGAN: discovering disease subtypes with imaging and genetic signatures via multi-view weakly-supervised deep clustering. Nat Commun 15, 354 (2024). https://doi.org/10.1038/s41467-023-44271-2 This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Recommended Citation

Yang, Zhijian; Morris, John C; LaMontagne, Pamela; Marcus, Daniel S; Benzinger, Tammie L S; and et al., "Gene-SGAN: Discovering disease subtypes with imaging and genetic signatures via multi-view weakly-supervised deep clustering." Nature Communications. 15, 1. 354 (2024).
https://digitalcommons.wustl.edu/oa_4/3225

Department

ICTS (Institute of Clinical and Translational Sciences)

Additional Links

Supplemental material is available for this article at publisher site.