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

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

School of Computer Science

Research output: Contribution to journal › Editorial

Original language	English
Article number	1273351
Journal	Frontiers in Psychiatry
Volume	14
DOIs	https://doi.org/10.3389/fpsyt.2023.1273351
State	Published - 2023

Keywords

cognitive and affective disorders
data mining methods
deep learning
multi-modal data
omics

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.3389/fpsyt.2023.1273351

Cite this

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

keywords = "cognitive and affective disorders, data mining methods, deep learning, multi-modal data, omics",

author = "Tao Wang and Chapman, {Elaine Stella} and Zhongyu Wei and Jiajie Peng",

year = "2023",

doi = "10.3389/fpsyt.2023.1273351",

language = "英语",

volume = "14",

journal = "Frontiers in Psychiatry",

issn = "1664-0640",

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TY - JOUR

T1 - Editorial

T2 - Data mining methods for analyzing cognitive and affective disorders based on multimodal omics, volume II

AU - Wang, Tao

AU - Chapman, Elaine Stella

AU - Wei, Zhongyu

AU - Peng, Jiajie

PY - 2023

Y1 - 2023

KW - cognitive and affective disorders

KW - data mining methods

KW - deep learning

KW - multi-modal data

KW - omics

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U2 - 10.3389/fpsyt.2023.1273351

DO - 10.3389/fpsyt.2023.1273351

M3 - 社论

AN - SCOPUS:85178942552

SN - 1664-0640

VL - 14

JO - Frontiers in Psychiatry

JF - Frontiers in Psychiatry

M1 - 1273351

ER -

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

Keywords

UN SDGs

Access to Document

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