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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, S. Risacher, C. Greene, J. Moore, A. Saykin, and L. Shen. Bioinformatics, 33 (20): 3250-3257 (2017)

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Yao Wang University of Stuttgart

Other publications of authors with the same name

Two-dimensional enrichment analysis for mining high-level imaging genetic associations.X. Yao, J. Yan, S. Kim, K. Nho, S. Risacher, M. Inlow, J. Moore, A. Saykin, and L. Shen. Brain Informatics, 4 (1): 27-37 (2017)Xor Perfect Phylogeny Haplotyping in Pedigrees.Y. Zhao, Y. Xu, X. Yao, Y. Wang, and G. Chen. ICIC (2), volume 6216 of Lecture Notes in Computer Science, page 27-34. Springer, (2010)Longitudinal Genotype-Phenotype Association Study through Temporal Structure Auto-Learning Predictive Model.X. Wang, J. Yan, X. Yao, S. Kim, K. Nho, S. Risacher, A. Saykin, L. Shen, and H. Huang. Journal of Computational Biology, 25 (7): 809-824 (2018)Privacy-preserving LOF outlier detection.L. Li, L. Huang, W. Yang, X. Yao, and A. Liu. Knowl. Inf. Syst., 42 (3): 579-597 (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, S. Risacher, C. Greene, J. Moore, A. Saykin, and L. Shen. Bioinformatics, 33 (20): 3250-3257 (2017)A Fast SCCA Algorithm for Big Data Analysis in Brain Imaging Genetics.Y. Huang, L. Du, K. Liu, X. Yao, S. Risacher, L. Guo, A. Saykin, and L. Shen. GRAIL/MFCA/MICGen@MICCAI, volume 10551 of Lecture Notes in Computer Science, page 210-219. Springer, (2017)Predicting progressions of cognitive outcomes via high-order multi-modal multi-task feature learning.L. Lu, H. Wang, X. Yao, S. Risacher, A. Saykin, and L. Shen. ISBI, page 545-548. IEEE, (2018)Mining Directional Drug Interaction Effects on Myopathy Using the FAERS Database.D. Chasioti, X. Yao, P. Zhang, S. Lerner, S. Quinney, X. Ning, L. Li, and L. Shen. IEEE J. Biomedical and Health Informatics, 23 (5): 2156-2163 (2019)A Faster Haplotyping Algorithm Based on Block Partition, and Greedy Ligation Strategy.X. Yao, Y. Xu, and J. Yang. ICIC (3), volume 6840 of Lecture Notes in Computer Science, page 537-544. Springer, (2011)Network-based genome wide study of hippocampal imaging phenotype in Alzheimer's Disease to identify functional interaction modules.X. Yao, J. Yan, S. Risacher, J. Moore, A. Saykin, and L. Shen. ICASSP, page 6170-6174. IEEE, (2017)

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Disambiguation of "Yao, Xiaohui"

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Tissue-specific network-based genome wide study of amygdala imaging phenotypes to identify functional interaction modules.

Please choose a person to relate this publication to

Yao Wang University of Stuttgart

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Disambiguation

PUMA

Disambiguation of "Yao, Xiaohui"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Tissue-specific network-based genome wide study of amygdala imaging phenotypes to identify functional interaction modules.

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Yao Wang University of Stuttgart

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Tissue-specific network-based genome wide study of amygdala imaging phenotypes to identify functional interaction modules.