158 related articles for article (PubMed ID: 32746095)
21. DIAGNOSIS-GUIDED METHOD FOR IDENTIFYING MULTI-MODALITY NEUROIMAGING BIOMARKERS ASSOCIATED WITH GENETIC RISK FACTORS IN ALZHEIMER'S DISEASE.
Hao X; Yan J; Yao X; Risacher SL; Saykin AJ; Zhang D; Shen L;
Pac Symp Biocomput; 2016; 21():108-19. PubMed ID: 26776178
[TBL] [Abstract][Full Text] [Related]
22. Identifying Imaging Genetics Biomarkers of Alzheimer's Disease by Multi-Task Sparse Canonical Correlation Analysis and Regression.
Ke F; Kong W; Wang S
Front Genet; 2021; 12():706986. PubMed ID: 34422007
[TBL] [Abstract][Full Text] [Related]
23. GN-SCCA: GraphNet based Sparse Canonical Correlation Analysis for Brain Imaging Genetics.
Du L; Yan J; Kim S; Risacher SL; Huang H; Inlow M; Moore JH; Saykin AJ; Shen L
Brain Inform Health (2015); 2015; 9250():275-284. PubMed ID: 26636135
[TBL] [Abstract][Full Text] [Related]
24. Associating brain imaging phenotypes and genetic in Alzheimer's disease via JSCCA approach with autocorrelation constraints.
Wei K; Kong W; Wang S
Med Biol Eng Comput; 2022 Jan; 60(1):95-108. PubMed ID: 34714488
[TBL] [Abstract][Full Text] [Related]
25. Identify Complex Imaging Genetic Patterns via Fusion Self-Expressive Network Analysis.
Wang M; Shao W; Hao X; Zhang D
IEEE Trans Med Imaging; 2021 Jun; 40(6):1673-1686. PubMed ID: 33661732
[TBL] [Abstract][Full Text] [Related]
26. Transcriptome-Guided Imaging Genetic Analysis via a Novel Sparse CCA Algorithm.
Liu K; Yao X; Yan J; Chasioti D; Risacher S; Nho K; Saykin A; Shen L;
Graphs Biomed Image Anal Comput Anat Imaging Genet (2017); 2017; 10551():220-229. PubMed ID: 30294724
[TBL] [Abstract][Full Text] [Related]
27. Identifying quantitative trait loci via group-sparse multitask regression and feature selection: an imaging genetics study of the ADNI cohort.
Wang H; Nie F; Huang H; Kim S; Nho K; Risacher SL; Saykin AJ; Shen L;
Bioinformatics; 2012 Jan; 28(2):229-37. PubMed ID: 22155867
[TBL] [Abstract][Full Text] [Related]
28. Structured sparse CCA for brain imaging genetics via graph OSCAR.
Du L; Huang H; Yan J; Kim S; Risacher S; Inlow M; Moore J; Saykin A; Shen L;
BMC Syst Biol; 2016 Aug; 10 Suppl 3(Suppl 3):68. PubMed ID: 27585988
[TBL] [Abstract][Full Text] [Related]
29. Detecting Biomarkers of Alzheimer's Disease Based on Multi-constrained Uncertainty-Aware Adaptive Sparse Multi-view Canonical Correlation Analysis.
Wang W; Kong W; Wang S; Wei K
J Mol Neurosci; 2022 Apr; 72(4):841-865. PubMed ID: 35080765
[TBL] [Abstract][Full Text] [Related]
30. A novel SCCA approach via truncated ℓ1-norm and truncated group lasso for brain imaging genetics.
Du L; Liu K; Zhang T; Yao X; Yan J; Risacher SL; Han J; Guo L; Saykin AJ; Shen L;
Bioinformatics; 2018 Jan; 34(2):278-285. PubMed ID: 28968815
[TBL] [Abstract][Full Text] [Related]
31. Genotype-phenotype association study via new multi-task learning model.
Huo Z; Shen D; Huang H
Pac Symp Biocomput; 2018; 23():353-364. PubMed ID: 29218896
[TBL] [Abstract][Full Text] [Related]
32. DIAGNOSIS STATUS GUIDED BRAIN IMAGING GENETICS VIA INTEGRATED REGRESSION AND SPARSE CANONICAL CORRELATION ANALYSIS.
Du L; Liu K; Yao X; Risacher SL; Guo L; Saykin AJ; Shen L;
Proc IEEE Int Symp Biomed Imaging; 2019 Apr; 2019():356-359. PubMed ID: 31844486
[TBL] [Abstract][Full Text] [Related]
33. Identify connectome between genotypes and brain network phenotypes via deep self-reconstruction sparse canonical correlation analysis.
Wang M; Shao W; Hao X; Huang S; Zhang D
Bioinformatics; 2022 Apr; 38(8):2323-2332. PubMed ID: 35143604
[TBL] [Abstract][Full Text] [Related]
34. Imaging Genetics Study Based on a Temporal Group Sparse Regression and Additive Model for Biomarker Detection of Alzheimer's Disease.
Huang M; Chen X; Yu Y; Lai H; Feng Q
IEEE Trans Med Imaging; 2021 May; 40(5):1461-1473. PubMed ID: 33556003
[TBL] [Abstract][Full Text] [Related]
35. Pattern Discovery in Brain Imaging Genetics via SCCA Modeling with a Generic Non-convex Penalty.
Du L; Liu K; Yao X; Yan J; Risacher SL; Han J; Guo L; Saykin AJ; Shen L;
Sci Rep; 2017 Oct; 7(1):14052. PubMed ID: 29070790
[TBL] [Abstract][Full Text] [Related]
36. 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;
Methods; 2023 Oct; 218():27-38. PubMed ID: 37507059
[TBL] [Abstract][Full Text] [Related]
37. Joint-Connectivity-Based Sparse Canonical Correlation Analysis of Imaging Genetics for Detecting Biomarkers of Parkinson's Disease.
Kim M; Won JH; Youn J; Park H
IEEE Trans Med Imaging; 2020 Jan; 39(1):23-34. PubMed ID: 31144631
[TBL] [Abstract][Full Text] [Related]
38. A Multi-task Deep Feature Selection Method for Brain Imaging Genetics.
Yu C; Zhang S; Shang M; Guo L; Han J; Du L
IEEE/ACM Trans Comput Biol Bioinform; 2023 Jul; PP():. PubMed ID: 37432805
[TBL] [Abstract][Full Text] [Related]
39. Identify Biomarkers of Alzheimer's Disease Based on Multi-task Canonical Correlation Analysis and Regression Model.
Wang S; Chen H; Kong W; Ke F; Wei K
J Mol Neurosci; 2022 Aug; 72(8):1749-1763. PubMed ID: 35698015
[TBL] [Abstract][Full Text] [Related]
40. Identifying Associations Between Brain Imaging Phenotypes and Genetic Factors via A Novel Structured SCCA Approach.
Du L; Zhang T; Liu K; Yan J; Yao X; Risacher SL; Saykin AJ; Han J; Guo L; Shen L;
Inf Process Med Imaging; 2017 Jun; 10265():543-555. PubMed ID: 28867917
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]