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Shannon L. Risacher
- > Home > Persons > Shannon L. Risacher
Publications
- 2020
- [j29]Xiaohui Yao, Shan Cong, Jingwen Yan, Shannon L. Risacher, Andrew J. Saykin, Jason H. Moore, Li Shen:
Regional imaging genetic enrichment analysis. Bioinform. 36(8): 2554-2560 (2020) - 2019
- [c39]Xiaohui Yao, Shan Cong, Jingwen Yan, Shannon L. Risacher, Andrew J. Saykin, Jason H. Moore, Li Shen:
Mining Regional Imaging Genetic Associations via Voxel-wise Enrichment Analysis. BHI 2019: 1-4 - 2017
- [j15]Xiaohui Yao, Jingwen Yan, Kefei Liu, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Casey S. Greene, Jason H. Moore, Andrew J. Saykin, Li Shen:
Tissue-specific network-based genome wide study of amygdala imaging phenotypes to identify functional interaction modules. Bioinform. 33(20): 3250-3257 (2017) - [j14]Xiaohui Yao, Jingwen Yan, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen:
Two-dimensional enrichment analysis for mining high-level imaging genetic associations. Brain Informatics 4(1): 27-37 (2017) - [c29]Xiaohui Yao, Jingwen Yan, Shannon L. Risacher, Jason H. Moore, Andrew J. Saykin, Li Shen:
Network-based genome wide study of hippocampal imaging phenotype in Alzheimer's Disease to identify functional interaction modules. ICASSP 2017: 6170-6174 - 2016
- [j11]Lei Du, Heng Huang, Jingwen Yan, Sungeun Kim, Shannon L. Risacher, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen:
Structured sparse canonical correlation analysis for brain imaging genetics: an improved GraphNet method. Bioinform. 32(10): 1544-1551 (2016) - [j10]Lei Du, Heng Huang, Jingwen Yan, Sungeun Kim, Shannon L. Risacher, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen:
Structured sparse CCA for brain imaging genetics via graph OSCAR. BMC Syst. Biol. 10(S-3): 68 (2016) - 2015
- [c18]Xiaohui Yao, Jingwen Yan, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen:
Two-Dimensional Enrichment Analysis for Mining High-Level Imaging Genetic Associations. BIH 2015: 115-124 - [c17]Lei Du, Jingwen Yan, Sungeun Kim, Shannon L. Risacher, Heng Huang, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen:
GN-SCCA: GraphNet Based Sparse Canonical Correlation Analysis for Brain Imaging Genetics. BIH 2015: 275-284 - 2014
- [j8]Jingwen Yan, Lei Du, Sungeun Kim, Shannon L. Risacher, Heng Huang, Jason H. Moore, Andrew J. Saykin, Li Shen:
Transcriptome-guided amyloid imaging genetic analysis via a novel structured sparse learning algorithm. Bioinform. 30(17): 564-571 (2014) - [c14]Lei Du, Jingwen Yan, Sungeun Kim, Shannon L. Risacher, Heng Huang, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen:
A Novel Structure-Aware Sparse Learning Algorithm for Brain Imaging Genetics. MICCAI (3) 2014: 329-336 - 2013
- [c9]Jingwen Yan, Heng Huang, Shannon L. Risacher, Sungeun Kim, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen:
Network-Guided Sparse Learning for Predicting Cognitive Outcomes from MRI Measures. MBIA 2013: 202-210 - 2010
- [j1]Li Shen, Sungeun Kim, Shannon L. Risacher, Kwangsik Nho, Shanker Swaminathan, John D. West, Tatiana Foroud, Nathan Pankratz, Jason H. Moore, Chantel D. Sloan, Matthew J. Huentelman, David W. Craig, Bryan M. DeChairo, Steven G. Potkin, Clifford R. Jack Jr., Michael W. Weiner, Andrew J. Saykin:
Whole genome association study of brain-wide imaging phenotypes for identifying quantitative trait loci in MCI and AD: A study of the ADNI cohort. NeuroImage 53(3): 1051-1063 (2010)
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