Editorial: Data mining methods for analyzing cognitive and affective disorders based on multimodal omics, volume II

Tao Wang; Elaine Stella Chapman; Zhongyu Wei; Jiajie Peng

doi:10.3389/fpsyt.2023.1273351

Editorial: Data mining methods for analyzing cognitive and affective disorders based on multimodal omics, volume II

Front Psychiatry. 2023 Nov 24:14:1273351. doi: 10.3389/fpsyt.2023.1273351. eCollection 2023.

Authors

Tao Wang^{1

2}, Elaine Stella Chapman³, Zhongyu Wei⁴, Jiajie Peng^{1

2}

Affiliations

¹ School of Computer Science, Northwestern Polytechnical University, Xi'An, China.
² Key Laboratory of Big Data Storage and Management, Ministry of Industry and Information Technology, Northwestern Polytechnical University, Xi'An, China.
³ University of Western Australia, Perth, WA, Australia.
⁴ School of Data Science, Fudan University, Shanghai, China.

No abstract available

Keywords: cognitive and affective disorders; data mining methods; deep learning; multi-modal data; omics.

Publication types

Editorial

Grants and funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This study was supported by National Natural Science Foundation of China (62102319 and 62072376) and Fundamental Research Funds for the Central Universities of China (G2021KY05112).