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Two-dimensional enrichment analysis for mining high-level imaging genetic associations.

, , , , , , , , and . Brain Informatics, 4 (1): 27-37 (2017)

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Two-dimensional enrichment analysis for mining high-level imaging genetic associations., , , , , , , , and . Brain Informatics, 4 (1): 27-37 (2017)GN-SCCA: GraphNet Based Sparse Canonical Correlation Analysis for Brain Imaging Genetics., , , , , , , , and . BIH, volume 9250 of Lecture Notes in Computer Science, page 275-284. Springer, (2015)Network-Guided Sparse Learning for Predicting Cognitive Outcomes from MRI Measures., , , , , , , and . MBIA, volume 8159 of Lecture Notes in Computer Science, page 202-210. Springer, (2013)Two-Dimensional Enrichment Analysis for Mining High-Level Imaging Genetic Associations., , , , , , , , and . BIH, volume 9250 of Lecture Notes in Computer Science, page 115-124. Springer, (2015)Hippocampal Surface Mapping of Genetic Risk Factors in AD via Sparse Learning Models., , , , , , , , , and 2 other author(s). MICCAI (2), volume 6892 of Lecture Notes in Computer Science, page 376-383. Springer, (2011)Identifying Neuroimaging and Proteomic Biomarkers for MCI and AD via the Elastic Net., , , , , , , , , and 2 other author(s). MBIA, volume 7012 of Lecture Notes in Computer Science, page 27-34. Springer, (2011)A Novel Structure-Aware Sparse Learning Algorithm for Brain Imaging Genetics., , , , , , , , and . MICCAI (3), volume 8675 of Lecture Notes in Computer Science, page 329-336. Springer, (2014)Structured sparse canonical correlation analysis for brain imaging genetics: an improved GraphNet method., , , , , , , , and . Bioinformatics, 32 (10): 1544-1551 (2016)PARP1 Gene Variation and Microglial Activity on 11CPBR28 PET in Older Adults at Risk for Alzheimer's Disease., , , , , , , , , and 5 other author(s). MBIA, volume 8159 of Lecture Notes in Computer Science, page 150-158. Springer, (2013)Structured sparse CCA for brain imaging genetics via graph OSCAR., , , , , , , , and . BMC Systems Biology, 10 (S-3): 68 (2016)