Journal
Molecular Psychiatry
Publication Date
10-1-2020
Volume
26
Issue
7
First Page
2991
Last Page
3002
Document Type
Open Access Publication
DOI
10.1038/s41380-020-00892-3
Rights and Permissions
Chang, M., Womer, F.Y., Gong, X. et al. Identifying and validating subtypes within major psychiatric disorders based on frontal–posterior functional imbalance via deep learning. Mol Psychiatry 26, 2991–3002 (2021). doi.org/10.1038/s41380-020-00892-3 Open Access 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
Recommended Citation
Chang, Miao; Womer, Fay Y; Gong, Xiaohong; Zhang, Weixiong; and et al, "Identifying and validating subtypes within major psychiatric disorders based on frontal-posterior functional imbalance via deep learning." Molecular Psychiatry. 26, 7. 2991 - 3002. (2020).
https://digitalcommons.wustl.edu/open_access_pubs/11733
Supplemental Materials
41380_2020_892_MOESM2_ESM.xlsx (55 kB)
Archetypal MPDs-associated genes predicted by Sherlock integrative analysis
