|Sparse Bayesian multi-task learning for predicting cognitive outcomes from neuroimaging measures in Alzheimer's disease|
J Wan, Z Zhang, J Yan, T Li, BD Rao, S Fang, S Kim, SL Risacher, ...
2012 IEEE Conference on Computer Vision and Pattern Recognition, 940-947, 2012
|High-order multi-task feature learning to identify longitudinal phenotypic markers for alzheimer's disease progression prediction|
H Wang, F Nie, H Huang, J Yan, S Kim, S Risacher, A Saykin, L Shen
Advances in neural information processing systems, 1277-1285, 2012
|From phenotype to genotype: an association study of longitudinal phenotypic markers to Alzheimer's disease relevant SNPs|
H Wang, F Nie, H Huang, J Yan, S Kim, K Nho, SL Risacher, AJ Saykin, ...
Bioinformatics 28 (18), i619-i625, 2012
|Structured sparse canonical correlation analysis for brain imaging genetics: an improved GraphNet method|
L Du, H Huang, J Yan, S Kim, SL Risacher, M Inlow, JH Moore, AJ Saykin, ...
Bioinformatics 32 (10), 1544-1551, 2016
|Identifying the neuroanatomical basis of cognitive impairment in Alzheimer's disease by correlation-and nonlinearity-aware sparse Bayesian learning|
J Wan, Z Zhang, BD Rao, S Fang, J Yan, AJ Saykin, L Shen
IEEE transactions on medical imaging 33 (7), 1475-1487, 2014
|Network approaches to systems biology analysis of complex disease: integrative methods for multi-omics data|
J Yan, SL Risacher, L Shen, AJ Saykin
Briefings in bioinformatics 19 (6), 1370-1381, 2017
|Transcriptome-guided amyloid imaging genetic analysis via a novel structured sparse learning algorithm|
J Yan, L Du, S Kim, SL Risacher, H Huang, JH Moore, AJ Saykin, L Shen, ...
Bioinformatics 30 (17), i564-i571, 2014
|A novel structure-aware sparse learning algorithm for brain imaging genetics|
L Du, J Yan, S Kim, SL Risacher, H Huang, M Inlow, JH Moore, AJ Saykin, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2014
|International Conference on Medical Image Computing and Computer-Assisted Intervention|
T Xu, H Zhang, X Huang
|Cortical surface biomarkers for predicting cognitive outcomes using group l2, 1 norm|
J Yan, T Li, H Wang, H Huang, J Wan, K Nho, S Kim, SL Risacher, ...
Neurobiology of aging 36, S185-S193, 2015
|Network-based analysis of genetic variants associated with hippocampal volume in Alzheimer˘s disease: a study of ADNI cohorts|
A Song, J Yan, S Kim, SL Risacher, AK Wong, AJ Saykin, L Shen, ...
BioData mining 9 (1), 3, 2016
|Genetic interactions explain variance in cingulate amyloid burden: an AV-45 PET genome-wide association and interaction study in the ADNI cohort|
J Li, Q Zhang, F Chen, J Yan, S Kim, L Wang, W Feng, AJ Saykin, H Liang, ...
BioMed research international 2015, 2015
|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
|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
|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
|Hippocampal transcriptome-guided genetic analysis of correlated episodic memory phenotypes in Alzheimer's disease|
J Yan, S Kim, K Nho, R Chen, SL Risacher, JH Moore, AJ Saykin, L Shen, ...
Frontiers in genetics 6, 117, 2015
|A novel SCCA approach via truncated ℓ1-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, 2017
|Genome-wide association and interaction studies of CSF T-tau/Aâ42 ratio in ADNI cohort|
J Li, Q Zhang, F Chen, X Meng, W Liu, D Chen, J Yan, S Kim, L Wang, ...
Neurobiology of aging 57, 247. e1-247. e8, 2017
|Network-guided sparse learning for predicting cognitive outcomes from MRI measures|
J Yan, H Huang, SL Risacher, S Kim, M Inlow, JH Moore, AJ Saykin, ...
International Workshop on Multimodal Brain Image Analysis, 202-210, 2013
|A new sparse simplex model for brain anatomical and genetic network analysis|
H Huang, J Yan, F Nie, J Huang, W Cai, AJ Saykin, L Shen
International Conference on Medical Image Computing and Computer-Assisted …, 2013