Identification of disease-related genetic variants and imaging factors leveraging summary statistics

Authors: Xi, Duo, Cui, Dingnan, Zhang, Minjianan, Zhang, Jin, Shang, Muheng, Guo, Lei, Du, Lei, Han, Junwei

Source: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) Bioinformatics and Biomedicine (BIBM), 2024 IEEE International Conference on. :1244-1249 Dec, 2024

Relation: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

Disentangling Disease-sensitive Multimodal Neuroimaging Phenotypes and Related Genetic Factors: A Multimodal Study of ADNI Cohort

Authors: Zhang, Jin, Zhang, Minjianan, Guo, Lei, Zhang, Daoqiang, Du, Lei

Source: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) Bioinformatics and Biomedicine (BIBM), 2024 IEEE International Conference on. :1370-1375 Dec, 2024

Relation: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

A Bayesian Group Sparse Canonical Correlation Analysis Method for Brain Imaging Genomics

Authors: Guo, Huiyun, Zhang, Minjianan, Du, Lei

Source: 2024 IEEE International Symposium on Biomedical Imaging (ISBI) Biomedical Imaging (ISBI), 2024 IEEE International Symposium on. :1-5 May, 2024

Relation: 2024 IEEE International Symposium on Biomedical Imaging (ISBI)

Identifying Disease-related Brain Imaging Quantitative Traits and Related Genetic Variations via A Bidirectional Association Learning Method

Authors: Shang, Muheng, Yang, Yan, Zhang, Minjianan, Zhang, Jin, Xi, Duo, Guo, Lei, Du, Lei

Source: 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) Bioinformatics and Biomedicine (BIBM), 2023 IEEE International Conference on. :616-621 Dec, 2023

Relation: 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

Identifying Main and Epistasis Effects of Genetic Variations on Neuroimaging Phenotypes Using Effective Feature Interaction Learning

Authors: Zhang, Jin, Xie, Qiang, Shang, Muheng, Xi, Duo, Zhang, Minjianan, Guo, Lei, Du, Lei

Source: 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) Bioinformatics and Biomedicine (BIBM), 2023 IEEE International Conference on. :759-764 Dec, 2023

Relation: 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

A Sparse Multi-task Contrastive and Discriminative Learning Method with Feature Selection for Brain Imaging Genetics

Authors: Zhang, Jin, Shang, Muheng, Xie, Qiang, Zhang, Minjianan, Xi, Duo, Guo, Lei, Han, Junwei, Du, Lei

Source: 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) Bioinformatics and Biomedicine (BIBM), 2022 IEEE International Conference on. :660-665 Dec, 2022

Relation: 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

Mining High-order Multimodal Brain Image Associations via Sparse Tensor Canonical Correlation Analysis

Authors: Du, Lei, Zhang, Jin, Liu, Fang, Zhang, Minjianan, Wang, Huiai, Guo, Lei, Han, Junwei

Source: 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) Bioinformatics and Biomedicine (BIBM), 2020 IEEE International Conference on. :570-575 Dec, 2020

Relation: 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

Modeling multi-stage disease progression and identifying genetic risk factors via a novel collaborative learning method.

Authors: Xi, Duo¹ (AUTHOR), Zhang, Minjianan¹ (AUTHOR), Shang, Muheng¹ (AUTHOR), Du, Lei¹ (AUTHOR), Han, Junwei¹ (AUTHOR), Initiative, Alzheimer's Disease Neuroimaging (AUTHOR)

Source: Bioinformatics. Jan2025, Vol. 41 Issue 1, p1-8. 8p.

Subject Terms: *OPTIMIZATION algorithms, *GENOME-wide association studies, *GENETIC variation, *ALZHEIMER'S disease, *DISEASE progression