Long Q - Search Results

1

Preference Matrix Guided Sparse Canonical Correlation Analysis for Genetic Study of Quantitative Traits in Alzheimer's Disease.

Sha J, Bao J, Liu K, Yang S, Wen Z, Cui Y, Wen J, Davatzikos C, Moore JH, Saykin AJ, Long Q, Shen L; ADNI. Sha J, et al. Among authors: long q. Proceedings (IEEE Int Conf Bioinformatics Biomed). 2022 Dec;2022:541-548. doi: 10.1109/bibm55620.2022.9995342. Proceedings (IEEE Int Conf Bioinformatics Biomed). 2022. PMID: 36845995 Free PMC article.

2

Integrative analysis of multi-omics and imaging data with incorporation of biological information via structural Bayesian factor analysis.

Bao J, Chang C, Zhang Q, Saykin AJ, Shen L, Long Q; Alzheimer’s Disease Neuroimaging Initiative. Bao J, et al. Among authors: long q. Brief Bioinform. 2023 Mar 19;24(2):bbad073. doi: 10.1093/bib/bbad073. Brief Bioinform. 2023. PMID: 36882008 Free PMC article.

3

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

Sha J, Bao J, Liu K, Yang S, Wen Z, Wen J, Cui Y, Tong B, Moore JH, Saykin AJ, Davatzikos C, Long Q, Shen L; Alzheimer's Disease Neuroimaging Initiative. Sha J, et al. Among authors: long q. Methods. 2023 Oct;218:27-38. doi: 10.1016/j.ymeth.2023.07.007. Epub 2023 Jul 27. Methods. 2023. PMID: 37507059 Free PMC article.

4

Brain-wide genome-wide colocalization study for integrating genetics, transcriptomics and brain morphometry in Alzheimer's disease.

Bao J, Wen J, Wen Z, Yang S, Cui Y, Yang Z, Erus G, Saykin AJ, Long Q, Davatzikos C, Shen L. Bao J, et al. Among authors: long q. Neuroimage. 2023 Oct 15;280:120346. doi: 10.1016/j.neuroimage.2023.120346. Epub 2023 Aug 25. Neuroimage. 2023. PMID: 37634885 Free PMC article.

5

Multi-Group Tensor Canonical Correlation Analysis.

Zhou Z, Tong B, Tarzanagh DA, Hou B, Saykin AJ, Long Q, Shen L. Zhou Z, et al. Among authors: long q. ACM BCB. 2023 Sep;2023:12. doi: 10.1145/3584371.3612962. Epub 2023 Oct 4. ACM BCB. 2023. PMID: 37876849 Free PMC article.

6

Fairness-Aware Class Imbalanced Learning on Multiple Subgroups.

Tarzanagh DA, Hou B, Tong B, Long Q, Shen L. Tarzanagh DA, et al. Among authors: long q. Proc Mach Learn Res. 2023 Aug;216:2123-2133. Proc Mach Learn Res. 2023. PMID: 38601022 Free PMC article.

7

Fair Canonical Correlation Analysis.

Zhou Z, Tarzanagh DA, Hou B, Tong B, Xu J, Feng Y, Long Q, Shen L. Zhou Z, et al. Among authors: long q. Adv Neural Inf Process Syst. 2023 Dec;36:3675-3705. Adv Neural Inf Process Syst. 2023. PMID: 38665178

8

PFERM: A Fair Empirical Risk Minimization Approach with Prior Knowledge.

Hou B, Mondragón A, Tarzanagh DA, Zhou Z, Saykin AJ, Moore JH, Ritchie MD, Long Q, Shen L. Hou B, et al. Among authors: long q. AMIA Jt Summits Transl Sci Proc. 2024 May 31;2024:211-220. eCollection 2024. AMIA Jt Summits Transl Sci Proc. 2024. PMID: 38827072 Free PMC article.

9

Employing Informatics Strategies in Alzheimer's Disease Research: A Review from Genetics, Multiomics, and Biomarkers to Clinical Outcomes.

Bao J, Lee BN, Wen J, Kim M, Mu S, Yang S, Davatzikos C, Long Q, Ritchie MD, Shen L. Bao J, et al. Among authors: long q. Annu Rev Biomed Data Sci. 2024 Aug;7(1):391-418. doi: 10.1146/annurev-biodatasci-102423-121021. Epub 2024 Jul 24. Annu Rev Biomed Data Sci. 2024. PMID: 38848574 Review.

10

Deep learning-based approaches for multi-omics data integration and analysis.

Ballard JL, Wang Z, Li W, Shen L, Long Q. Ballard JL, et al. Among authors: long q. BioData Min. 2024 Oct 2;17(1):38. doi: 10.1186/s13040-024-00391-z. BioData Min. 2024. PMID: 39358793 Free PMC article. Review.

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