Identifying Modality-Consistent and Modality-Specific Features via Label-Guided Multi-Task Sparse Canonical Correlation Analysis for Neuroimaging Genetics-Reference-Cited by-同舟云学术

Identifying Modality-Consistent and Modality-Specific Features via Label-Guided Multi-Task Sparse Canonical Correlation Analysis for Neuroimaging Genetics

Published:2023-03 Issue:3 Volume:70 Page:831-840
ISSN:0018-9294
Container-title:IEEE Transactions on Biomedical Engineering
language:
Short-container-title:IEEE Trans. Biomed. Eng.

Author:

Hao Xiaoke¹^ORCID,Tan Qihao²,Guo Yingchun²^ORCID,Xiao Yunjia²,Yu Ming²^ORCID,Wang Meiling³^ORCID,Qin Jing⁴^ORCID,Zhang Daoqiang⁵^ORCID,Initiative Alzheimers Disease Neuroimaging⁵

Affiliation:

1. School of Artificial Intelligence, Hebei University of Technology, Tianjin, China

2. School of Artificial Intelligence, Hebei University of Technology, China

3. College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, China

4. Centre for Smart Health, School of Nursing, The Hong Kong Polytechnic University, Hong Kong

5. College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hebei Province of China

China Postdoctoral Science Foundation

Hong Kong Polytechnic University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering

Link

http://xplorestaging.ieee.org/ielx7/10/10048704/09870855.pdf?arnumber=9870855

Reference36 articles.

1. Neuroimaging endophenotypes: Strategies for finding genes influencing brain structure and function

2. Shared Genetic Background Between Cerebrospinal Fluid Biomarkers and Risk for Alzheimer’s Disease: A Two-Sample Mendelian Randomization Study

3. Imaging genomics: Mapping the influence of genetics on brain structure and function

4. Comprehensive classification models based on amygdala radiomic features for Alzheimer’s disease and mild cognitive impairment

5. Identification of associations between genotypes and longitudinal phenotypes via temporally-constrained group sparse canonical correlation analysis

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