Lei Du (杜磊)
Title
Cited by
Cited by
Year
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
602016
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
382014
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
352014
Detecting concept drift: an information entropy based method using an adaptive sliding window
L Du, Q Song, X Jia
Intelligent Data Analysis 18 (3), 337-364, 2014
292014
A Selective Detector Ensemble for Concept Drift Detection
L Du, Q Song, L Zhu, X Zhu
The Computer Journal 58 (3), 457-471, 2015
242015
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
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
A Mixture Dose–Response Model for Identifying High‐Dimensional Drug Interaction Effects on Myopathy Using Electronic Medical Record Databases
P Zhang, L Du, L Wang, M Liu, L Cheng, CW Chiang, HY Wu, SK Quinney, ...
CPT: pharmacometrics & systems pharmacology 4 (8), 474-480, 2015
152015
Graphic mining of high‐order drug interactions and their directional effects on myopathy using electronic medical records
L Du, A Chakraborty, CW Chiang, L Cheng, SK Quinney, H Wu, P Zhang, ...
CPT: pharmacometrics & systems pharmacology 4 (8), 481-488, 2015
132015
Structured sparse CCA for brain imaging genetics via graph OSCAR
L Du, H Huang, J Yan, S Kim, S Risacher, M Inlow, J Moore, A Saykin, ...
BMC Systems Biology 10 (3), 335-345, 2016
112016
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
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
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
Machine learning in brain imaging genomics
J Yan, L Du, X Yao, L Shen
Machine learning and medical imaging, 411-434, 2016
62016
Accelerating sparse canonical correlation analysis for large brain imaging genetics data
J Yan, H Zhang, L Du, E Wernert, AJ Saykin, L Shen
Proceedings of the 2014 Annual Conference on Extreme Science and Engineering …, 2014
62014
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
42020
Multi-task sparse canonical correlation analysis with application to multi-modal brain imaging genetics
L Du, K Liu, X Yao, S Risacher, J Han, A Saykin, L Guo, L Shen
IEEE/ACM transactions on computational biology and bioinformatics, 2019
42019
Pattern discovery in brain imaging genetics via SCCA modeling with a generic non-convex penalty
L Du, K Liu, X Yao, J Yan, SL Risacher, J Han, L Guo, AJ Saykin, L Shen
Scientific reports 7 (1), 1-14, 2017
42017
Gn-scca: Graphnet based sparse canonical correlation analysis for brain imaging genetics
L Du, J Yan, S Kim, SL Risacher, H Huang, M Inlow, JH Moore, AJ Saykin, ...
International Conference on Brain Informatics and Health, 275-284, 2015
42015
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