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Xiaohui Yao
Xiaohui Yao
Verified email at pennmedicine.upenn.edu
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Year
Genetic studies of quantitative MCI and AD phenotypes in ADNI: progress, opportunities, and plans
AJ Saykin, L Shen, X Yao, S Kim, K Nho, SL Risacher, VK Ramanan, ...
Alzheimer's & Dementia 11 (7), 792-814, 2015
2242015
Multi-modal neuroimaging feature selection with consistent metric constraint for diagnosis of Alzheimer's disease
X Hao, Y Bao, Y Guo, M Yu, D Zhang, SL Risacher, AJ Saykin, X Yao, ...
Medical image analysis 60, 101625, 2020
742020
Identifying progressive imaging genetic patterns via multi-task sparse canonical correlation analysis: a longitudinal study of the ADNI cohort
L Du, K Liu, L Zhu, X Yao, SL Risacher, L Guo, AJ Saykin, L Shen, ...
Bioinformatics 35 (14), i474-i483, 2019
382019
Mining outcome-relevant brain imaging genetic associations via three-way sparse canonical correlation analysis in Alzheimer¢s disease
X Hao, C Li, L Du, X Yao, J Yan, SL Risacher, AJ Saykin, L Shen, ...
Scientific reports 7 (1), 1-12, 2017
382017
Identification of associations between genotypes and longitudinal phenotypes via temporally-constrained group sparse canonical correlation analysis
X Hao, C Li, J Yan, X Yao, SL Risacher, AJ Saykin, L Shen, D Zhang, ...
Bioinformatics 33 (14), i341-i349, 2017
352017
Detecting genetic associations with brain imaging phenotypes in Alzheimer¢s disease via a novel structured SCCA approach
L Du, K Liu, X Yao, SL Risacher, J Han, AJ Saykin, L Guo, L Shen
Medical image analysis 61, 101656, 2020
322020
A novel SCCA approach via truncated 1-norm and truncated group lasso for brain imaging genetics
L Du, K Liu, T Zhang, X Yao, J Yan, SL Risacher, J Han, L Guo, AJ Saykin, ...
Bioinformatics 34 (2), 278-285, 2018
302018
Tissue-specific network-based genome wide study of amygdala imaging phenotypes to identify functional interaction modules
X Yao, J Yan, K Liu, S Kim, K Nho, SL Risacher, CS Greene, JH Moore, ...
Bioinformatics 33 (20), 3250-3257, 2017
232017
Identifying multimodal intermediate phenotypes between genetic risk factors and disease status in Alzheimer¢s disease
X Hao, X Yao, J Yan, SL Risacher, AJ Saykin, D Zhang, L Shen
Neuroinformatics 14 (4), 439-452, 2016
232016
Targeted genetic analysis of cerebral blood flow imaging phenotypes implicates the INPP5D gene
X Yao, SL Risacher, K Nho, AJ Saykin, Z Wang, L Shen, ...
Neurobiology of aging 81, 213-221, 2019
222019
Privacy-preserving lof outlier detection
L Li, L Huang, W Yang, X Yao, A Liu
Knowledge and Information Systems 42 (3), 579-597, 2015
192015
Multi-task sparse canonical correlation analysis with application to multi-modal brain imaging genetics
L Du, K Liu, X Yao, SL Risacher, J Han, AJ Saykin, L Guo, L Shen
IEEE/ACM transactions on computational biology and bioinformatics 18 (1 …, 2019
182019
Regional imaging genetic enrichment analysis
X Yao, S Cong, J Yan, SL Risacher, AJ Saykin, JH Moore, L Shen, ...
Bioinformatics 36 (8), 2554-2560, 2020
172020
Two-dimensional enrichment analysis for mining high-level imaging genetic associations
X Yao, J Yan, S Kim, K Nho, SL Risacher, M Inlow, JH Moore, AJ Saykin, ...
BIH 2015: International Conference on Brain Informatics & HealthLecture …, 2015
162015
Identifying diagnosis-specific genotype–phenotype associations via joint multitask sparse canonical correlation analysis and classification
L Du, F Liu, K Liu, X Yao, SL Risacher, J Han, L Guo, AJ Saykin, L Shen, ...
Bioinformatics 36 (Supplement_1), i371-i379, 2020
152020
Associating multi-modal brain imaging phenotypes and genetic risk factors via a dirty multi-task learning method
L Du, F Liu, K Liu, X Yao, SL Risacher, J Han, AJ Saykin, L Shen
IEEE transactions on medical imaging 39 (11), 3416-3428, 2020
152020
Genome-wide network-based pathway analysis of CSF t-tau/Aâ1-42 ratio in the ADNI cohort
W Cong, X Meng, J Li, Q Zhang, F Chen, W Liu, Y Wang, S Cheng, X Yao, ...
BMC genomics 18 (1), 1-14, 2017
142017
Mapping longitudinal scientific progress, collaboration and impact of the Alzheimer¢s disease neuroimaging initiative
X Yao, J Yan, M Ginda, K Börner, AJ Saykin, L Shen, ...
PloS one 12 (11), e0186095, 2017
142017
Identifying associations between brain imaging phenotypes and genetic factors via a novel structured SCCA approach
L Du, T Zhang, K Liu, J Yan, X Yao, SL Risacher, AJ Saykin, J Han, L Guo, ...
International Conference on Information Processing in Medical Imaging, 543-555, 2017
142017
Fast multi-task SCCA learning with feature selection for multi-modal brain imaging genetics
L Du, K Liu, X Yao, SL Risacher, J Han, L Guo, AJ Saykin, L Shen
2018 IEEE international conference on bioinformatics and biomedicine (BIBM …, 2018
122018
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