| 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 | 117 | 2016 |
| 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 | 77 | 2014 |
| 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 | 76 | 2014 |
| 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 | 70 | 2020 |
| 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 | 54 | 2019 |
| A Selective Detector Ensemble for Concept Drift Detection L Du, Q Song, L Zhu, X Zhu The Computer Journal 58 (3), 457-471, 2015 | 54 | 2015 |
| 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, ... Medical Image Computing and Computer-Assisted Intervention–MICCAI 2014: 17th …, 2014 | 53 | 2014 |
| 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, 2018 | 41 | 2018 |
| 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 | 38 | 2020 |
| 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 | 38 | 2019 |
| Identifying associations among genomic, proteomic and imaging biomarkers via adaptive sparse multi-view canonical correlation analysis L Du, J Zhang, F Liu, H Wang, L Guo, J Han, ... Medical Image Analysis 70, 102003, 2021 | 33 | 2021 |
| 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 | 31 | 2020 |
| 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 | 21 | 2015 |
| 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 | 20 | 2015 |
| 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 | 18 | 2018 |
| 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 | 18 | 2017 |
| 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 | 18 | 2015 |
| Diagnosis status guided brain imaging genetics via integrated regression and sparse canonical correlation analysis L Du, K Liu, X Yao, SL Risacher, L Guo, AJ Saykin, L Shen 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019 | 13 | 2019 |
| 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 | 13 | 2016 |
| 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, 335-345, 2016 | 12 | 2016 |
Li ShenProfessor of Informatics and Radiology, University of Pennsylvania Perelman School of MedicineVerified email at pennmedicine.upenn.edu
