Yao X - Search Results

1

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; Alzheimer’s Disease Neuroimaging Initiative. Hao X, et al. Among authors: yao x. Sci Rep. 2017 Mar 14;7:44272. doi: 10.1038/srep44272. Sci Rep. 2017. PMID: 28291242 Free PMC article.

2

Two-dimensional Enrichment Analysis for Mining High-level Imaging Genetic Associations.

Yao X, Yan J, Kim S, Nho K, Risacher SL, Inlow M, Moore JH, Saykin AJ, Shen L; Alzheimer’s Disease Neuroimaging Initiative**. Yao X, et al. Brain Inform Health (2015). 2015 Aug-Sep;9250:115-124. doi: 10.1007/978-3-319-23344-4_12. Epub 2015 Aug 21. Brain Inform Health (2015). 2015. PMID: 26568986 Free PMC article.

3

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; ADNI. Hao X, et al. Among authors: yao x. Pac Symp Biocomput. 2016;21:108-19. Pac Symp Biocomput. 2016. PMID: 26776178 Free PMC article.

4

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; Alzheimer’s Disease Neuroimaging Initiative. Hao X, et al. Among authors: yao x. Neuroinformatics. 2016 Oct;14(4):439-52. doi: 10.1007/s12021-016-9307-8. Neuroinformatics. 2016. PMID: 27277494 Free PMC article.

5

Two-dimensional enrichment analysis for mining high-level imaging genetic associations.

Yao X, Yan J, Kim S, Nho K, Risacher SL, Inlow M, Moore JH, Saykin AJ, Shen L. Yao X, et al. Brain Inform. 2017 Mar;4(1):27-37. doi: 10.1007/s40708-016-0052-4. Epub 2016 May 13. Brain Inform. 2017. PMID: 27747820 Free PMC article.

6

Genome-wide network-based pathway analysis of CSF t-tau/Aβ1-42 ratio in the ADNI cohort.

Cong W, Meng X, Li J, Zhang Q, Chen F, Liu W, Wang Y, Cheng S, Yao X, Yan J, Kim S, Saykin AJ, Liang H, Shen L; Alzheimer’s Disease Neuroimaging Initiative. Cong W, et al. Among authors: yao x. BMC Genomics. 2017 May 30;18(1):421. doi: 10.1186/s12864-017-3798-z. BMC Genomics. 2017. PMID: 28558704 Free PMC article.

7

Tissue-specific network-based genome wide study of amygdala imaging phenotypes to identify functional interaction modules.

Yao X, Yan J, Liu K, Kim S, Nho K, Risacher SL, Greene CS, Moore JH, Saykin AJ, Shen L; Alzheimer’s Disease Neuroimaging Initiative. Yao X, et al. Bioinformatics. 2017 Oct 15;33(20):3250-3257. doi: 10.1093/bioinformatics/btx344. Bioinformatics. 2017. PMID: 28575147 Free PMC article.

8

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; Alzheimer's Disease Neuroimaging Initiative. Du L, et al. Among authors: yao x. Inf Process Med Imaging. 2017 Jun;10265:543-555. doi: 10.1007/978-3-319-59050-9_43. Epub 2017 May 23. Inf Process Med Imaging. 2017. PMID: 28867917 Free PMC article.

9

Identification of associations between genotypes and longitudinal phenotypes via temporally-constrained group sparse canonical correlation analysis.

Hao X, Li C, Yan J, Yao X, Risacher SL, Saykin AJ, Shen L, Zhang D; Alzheimer’s Disease Neuroimaging Initiative. Hao X, et al. Among authors: yao x. Bioinformatics. 2017 Jul 15;33(14):i341-i349. doi: 10.1093/bioinformatics/btx245. Bioinformatics. 2017. PMID: 28881979 Free PMC article.

10

Sparse Canonical Correlation Analysis via Truncated ℓ₁-norm with Application to Brain Imaging Genetics.

Du L, Zhang T, Liu K, Yao X, Yan J, Risacher SL, Guo L, Saykin AJ, Shen L; ADNI. Du L, et al. Among authors: yao x. Proceedings (IEEE Int Conf Bioinformatics Biomed). 2016;2016:707-711. doi: 10.1109/BIBM.2016.7822605. Epub 2017 Jan 19. Proceedings (IEEE Int Conf Bioinformatics Biomed). 2016. PMID: 28989812 Free PMC article.

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