Long Q - Search Results

1

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.

2

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.

3

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.

4

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

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

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

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

Knowledge-guided learning methods for integrative analysis of multi-omics data.

Li W, Ballard J, Zhao Y, Long Q. Li W, et al. Among authors: long q. Comput Struct Biotechnol J. 2024 Apr 30;23:1945-1950. doi: 10.1016/j.csbj.2024.04.053. eCollection 2024 Dec. Comput Struct Biotechnol J. 2024. PMID: 38736693 Free PMC article. Review.

9

Robust knowledge-guided biclustering for multi-omics data.

Zhang Q, Chang C, Long Q. Zhang Q, et al. Among authors: long q. Brief Bioinform. 2023 Nov 22;25(1):bbad446. doi: 10.1093/bib/bbad446. Brief Bioinform. 2023. PMID: 38058188 Free PMC article.

10

Integrative Learning of Structured High-Dimensional Data from Multiple Datasets.

Chang C, Dai Z, Oh J, Long Q. Chang C, et al. Among authors: long q. Stat Anal Data Min. 2023 Apr;16(2):120-134. doi: 10.1002/sam.11601. Epub 2022 Nov 8. Stat Anal Data Min. 2023. PMID: 37213790 Free PMC article.

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