Response to: Significance and stability of deep learning-based identification of subtypes within major psychiatric disorders. Molecular Psychiatry (2022)

Detalles Bibliográficos
Autores principales: Zhang, Xizhe, Wang, Fei, Zhang, Weixiong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Correspondence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9708580/
https://www.ncbi.nlm.nih.gov/pubmed/35681080
http://dx.doi.org/10.1038/s41380-022-01613-8
_version_ 1784840966781272064
author Zhang, Xizhe
Wang, Fei
Zhang, Weixiong
author_facet Zhang, Xizhe
Wang, Fei
Zhang, Weixiong
author_sort Zhang, Xizhe
collection PubMed
description
format Online
Article
Text
id pubmed-9708580
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-97085802022-12-01 Response to: Significance and stability of deep learning-based identification of subtypes within major psychiatric disorders. Molecular Psychiatry (2022) Zhang, Xizhe Wang, Fei Zhang, Weixiong Mol Psychiatry Correspondence Nature Publishing Group UK 2022-06-09 2022 /pmc/articles/PMC9708580/ /pubmed/35681080 http://dx.doi.org/10.1038/s41380-022-01613-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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 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/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Correspondence
Zhang, Xizhe
Wang, Fei
Zhang, Weixiong
Response to: Significance and stability of deep learning-based identification of subtypes within major psychiatric disorders. Molecular Psychiatry (2022)
title Response to: Significance and stability of deep learning-based identification of subtypes within major psychiatric disorders. Molecular Psychiatry (2022)
title_full Response to: Significance and stability of deep learning-based identification of subtypes within major psychiatric disorders. Molecular Psychiatry (2022)
title_fullStr Response to: Significance and stability of deep learning-based identification of subtypes within major psychiatric disorders. Molecular Psychiatry (2022)
title_full_unstemmed Response to: Significance and stability of deep learning-based identification of subtypes within major psychiatric disorders. Molecular Psychiatry (2022)
title_short Response to: Significance and stability of deep learning-based identification of subtypes within major psychiatric disorders. Molecular Psychiatry (2022)
title_sort response to: significance and stability of deep learning-based identification of subtypes within major psychiatric disorders. molecular psychiatry (2022)
topic Correspondence
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9708580/
https://www.ncbi.nlm.nih.gov/pubmed/35681080
http://dx.doi.org/10.1038/s41380-022-01613-8
work_keys_str_mv AT zhangxizhe responsetosignificanceandstabilityofdeeplearningbasedidentificationofsubtypeswithinmajorpsychiatricdisordersmolecularpsychiatry2022
AT wangfei responsetosignificanceandstabilityofdeeplearningbasedidentificationofsubtypeswithinmajorpsychiatricdisordersmolecularpsychiatry2022
AT zhangweixiong responsetosignificanceandstabilityofdeeplearningbasedidentificationofsubtypeswithinmajorpsychiatricdisordersmolecularpsychiatry2022

Ejemplares similares