158 related articles for article (PubMed ID: 32746095)
1. Associating Multi-Modal Brain Imaging Phenotypes and Genetic Risk Factors via a Dirty Multi-Task Learning Method.
Du L; Liu F; Liu K; Yao X; Risacher SL; Han J; Saykin AJ; Shen L
IEEE Trans Med Imaging; 2020 Nov; 39(11):3416-3428. PubMed ID: 32746095
[TBL] [Abstract][Full Text] [Related]
2. A multi-task SCCA method for brain imaging genetics and its application in neurodegenerative diseases.
Zhang X; Hao Y; Zhang J; Ji Y; Zou S; Zhao S; Xie S; Du L
Comput Methods Programs Biomed; 2023 Apr; 232():107450. PubMed ID: 36905750
[TBL] [Abstract][Full Text] [Related]
3. Fast Multi-Task SCCA Learning with Feature Selection for Multi-Modal Brain Imaging Genetics.
Du L; Liu K; Yao X; Risacher SL; Han J; Guo L; Saykin AJ; Shen L;
Proceedings (IEEE Int Conf Bioinformatics Biomed); 2018 Dec; 2018():356-361. PubMed ID: 30881731
[TBL] [Abstract][Full Text] [Related]
4. Multi-Task Sparse Canonical Correlation Analysis with Application to Multi-Modal Brain Imaging Genetics.
Du L; Liu K; Yao X; Risacher SL; Han J; Saykin AJ; Guo L; Shen L
IEEE/ACM Trans Comput Biol Bioinform; 2021; 18(1):227-239. PubMed ID: 31634139
[TBL] [Abstract][Full Text] [Related]
5. Mining Outcome-relevant Brain Imaging Genetic Associations via Three-way Sparse Canonical Correlation Analysis in Alzheimer's Disease.
Hao X; Li C; Du L; Yao X; Yan J; Risacher SL; Saykin AJ; Shen L; Zhang D;
Sci Rep; 2017 Mar; 7():44272. PubMed ID: 28291242
[TBL] [Abstract][Full Text] [Related]
6. Identify Consistent Cross-Modality Imaging Genetic Patterns via Discriminant Sparse Canonical Correlation Analysis.
Wang M; Shao W; Hao X; Shen L; Zhang D
IEEE/ACM Trans Comput Biol Bioinform; 2021; 18(4):1549-1561. PubMed ID: 31581090
[TBL] [Abstract][Full Text] [Related]
7. Transcriptome-guided amyloid imaging genetic analysis via a novel structured sparse learning algorithm.
Yan J; Du L; Kim S; Risacher SL; Huang H; Moore JH; Saykin AJ; Shen L;
Bioinformatics; 2014 Sep; 30(17):i564-71. PubMed ID: 25161248
[TBL] [Abstract][Full Text] [Related]
8. Identifying Multimodal Intermediate Phenotypes Between Genetic Risk Factors and Disease Status in Alzheimer's Disease.
Hao X; Yao X; Yan J; Risacher SL; Saykin AJ; Zhang D; Shen L;
Neuroinformatics; 2016 Oct; 14(4):439-52. PubMed ID: 27277494
[TBL] [Abstract][Full Text] [Related]
9. Identifying diagnosis-specific genotype-phenotype associations via joint multitask sparse canonical correlation analysis and classification.
Du L; Liu F; Liu K; Yao X; Risacher SL; Han J; Guo L; Saykin AJ; Shen L;
Bioinformatics; 2020 Jul; 36(Suppl_1):i371-i379. PubMed ID: 32657360
[TBL] [Abstract][Full Text] [Related]
10. Identifying frequency-dependent imaging genetic associations via hypergraph-structured multi-task sparse canonical correlation analysis.
Song P; Li X; Yuan X; Pang L; Song X; Wang Y
Comput Biol Med; 2024 Mar; 171():108051. PubMed ID: 38335819
[TBL] [Abstract][Full Text] [Related]
11. Identifying Modality-Consistent and Modality-Specific Features via Label-Guided Multi-Task Sparse Canonical Correlation Analysis for Neuroimaging Genetics.
Hao X; Tan Q; Guo Y; Xiao Y; Yu M; Wang M; Qin J; Zhang D; Initiative ADN
IEEE Trans Biomed Eng; 2023 Mar; 70(3):831-840. PubMed ID: 36044490
[TBL] [Abstract][Full Text] [Related]
12. Identifying progressive imaging genetic patterns via multi-task sparse canonical correlation analysis: a longitudinal study of the ADNI cohort.
Du L; Liu K; Zhu L; Yao X; Risacher SL; Guo L; Saykin AJ; Shen L;
Bioinformatics; 2019 Jul; 35(14):i474-i483. PubMed ID: 31510645
[TBL] [Abstract][Full Text] [Related]
13. Identifying Biomarkers of Alzheimer's Disease via a Novel Structured Sparse Canonical Correlation Analysis Approach.
Wang S; Qian Y; Wei K; Kong W
J Mol Neurosci; 2022 Feb; 72(2):323-335. PubMed ID: 34570360
[TBL] [Abstract][Full Text] [Related]
14. Detecting genetic associations with brain imaging phenotypes in Alzheimer's disease via a novel structured SCCA approach.
Du L; Liu K; Yao X; Risacher SL; Han J; Saykin AJ; Guo L; Shen L
Med Image Anal; 2020 Apr; 61():101656. PubMed ID: 32062154
[TBL] [Abstract][Full Text] [Related]
15. DATA SYNTHESIS AND METHOD EVALUATION FOR BRAIN IMAGING GENETICS.
Sheng J; Kim S; Yan J; Moore J; Saykin A; Shen L
Proc IEEE Int Symp Biomed Imaging; 2014 May; 2014():1202-1205. PubMed ID: 25408823
[TBL] [Abstract][Full Text] [Related]
16. Identifying associations among genomic, proteomic and imaging biomarkers via adaptive sparse multi-view canonical correlation analysis.
Du L; Zhang J; Liu F; Wang H; Guo L; Han J; Disease Neuroimaging Initiative TA
Med Image Anal; 2021 May; 70():102003. PubMed ID: 33735757
[TBL] [Abstract][Full Text] [Related]
17. A novel structure-aware sparse learning algorithm for brain imaging genetics.
Du L; Jingwen Y; Kim S; Risacher SL; Huang H; Inlow M; Moore JH; Saykin AJ; Shen L;
Med Image Comput Comput Assist Interv; 2014; 17(Pt 3):329-36. PubMed ID: 25320816
[TBL] [Abstract][Full Text] [Related]
18. Identification of multimodal brain imaging association via a parameter decomposition based sparse multi-view canonical correlation analysis method.
Zhang J; Wang H; Zhao Y; Guo L; Du L;
BMC Bioinformatics; 2022 Apr; 23(Suppl 3):128. PubMed ID: 35413798
[TBL] [Abstract][Full Text] [Related]
19. Multi-task learning based structured sparse canonical correlation analysis for brain imaging genetics.
Kim M; Min EJ; Liu K; Yan J; Saykin AJ; Moore JH; Long Q; Shen L
Med Image Anal; 2022 Feb; 76():102297. PubMed ID: 34871929
[TBL] [Abstract][Full Text] [Related]
20. Detecting genetic associations with brain imaging phenotypes in Alzheimer's disease via a novel structured KCCA approach.
Wang L; Kong W; Wang S
J Bioinform Comput Biol; 2021 Aug; 19(4):2150012. PubMed ID: 33950804
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
