Preference matrix guided sparse canonical correlation analysis for mining brain imaging genetic associations in Alzheimer's disease-Reference-Cited by-同舟云学术

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Preference matrix guided sparse canonical correlation analysis for mining brain imaging genetic associations in Alzheimer's disease

Published:2023-10 Issue: Volume:218 Page:27-38
ISSN:1046-2023
Container-title:Methods
language:en
Short-container-title:Methods

Author:

Sha Jiahang,Bao Jingxuan,Liu Kefei,Yang Shu,Wen Zixuan,Wen Junhao,Cui Yuhan,Tong Boning,Moore Jason H.,Saykin Andrew J.,Davatzikos Christos,Long Qi,Shen Li^ORCID

Publisher

Elsevier BV

Subject

General Biochemistry, Genetics and Molecular Biology,Molecular Biology

Reference63 articles.

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5. Integrative analysis of multi-omics and imaging data with incorporation of biological information via structural Bayesian factor analysis;Bao;Brief. Bioinform.,2023

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1. Quality prediction for magnetic pulse crimping cable joints based on 3D vision and ensemble learning;Computers in Industry;2024-11

2. Altered dynamic amplitude of low‐frequency fluctuation in individuals at high risk for Alzheimer's disease;European Journal of Neuroscience;2024-02-05

3. Data-driven multimodal fusion: approaches and applications in psychiatric research;Psychoradiology;2023

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