Xiaohui Yao
Xiaohui Yao
Verified email at pennmedicine.upenn.edu
Title
Cited by
Cited by
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
1612015
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
252017
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
202019
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
192020
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
192018
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
192017
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
162017
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
162016
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
132015
Privacy-preserving lof outlier detection
L Li, L Huang, W Yang, X Yao, A Liu
Knowledge and Information Systems 42 (3), 579-597, 2015
122015
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
102019
Genome-wide network-based pathway analysis of CSF t-tau/Aβ1-42 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
102017
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
102017
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
92020
Longitudinal genotype-phenotype association study via temporal structure auto-learning predictive model
X Wang, J Yan, X Yao, S Kim, K Nho, SL Risacher, AJ Saykin, L Shen, ...
International Conference on Research in Computational Molecular Biology, 287-302, 2017
92017
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
82017
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
72018
Machine learning in brain imaging genomics
J Yan, L Du, X Yao, L Shen
Machine learning and medical imaging, 411-434, 2016
72016
Sparse Canonical Correlation Analysis via truncated ℓ1-norm with application to brain imaging genetics
L Du, T Zhang, K Liu, X Yao, J Yan, SL Risacher, L Guo, AJ Saykin, ...
2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2016
62016
Mining and visualizing high-order directional drug interaction effects using the FAERS database
X Yao, T Tsang, Q Sun, S Quinney, P Zhang, X Ning, L Li, L Shen
BMC medical informatics and decision making 20 (2), 1-11, 2020
52020
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