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

, , , , , , , , , and . Bioinformatics, 33 (20): 3250-3257 (2017)

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Di Liu University of Stuttgart

Data for: The silicon vacancy centers in SiC: determination of intrinsic spin dynamics for integrated quantum photonics. Dataset, (2024)Related to: Di Liu, Florian Kaiser, Vladislav Bushmakin, Erik Hesselmeier, Timo Steidl, Takeshi Ohshima, Nguyen Tien Son, Jawad Ul-Hassan, Öney O. Soykal, Jörg Wrachtrup (2023). The silicon vacancy centers in SiC: determination of intrinsic spin dynamics for integrated quantum photonics. arXiv preprint. arXiv: 2307.13648.
 

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Two-dimensional enrichment analysis for mining high-level imaging genetic associations., , , , , , , , and . Brain Informatics, 4 (1): 27-37 (2017)Longitudinal Genotype-Phenotype Association Study through Temporal Structure Auto-Learning Predictive Model., , , , , , , , and . Journal of Computational Biology, 25 (7): 809-824 (2018)Sparse multi-task regression and feature selection to identify brain imaging predictors for memory performance., , , , , , and . ICCV, page 557-562. IEEE Computer Society, (2011)Sparse Bayesian multi-task learning for predicting cognitive outcomes from neuroimaging measures in Alzheimer's disease., , , , , , , , , and . CVPR, page 940-947. IEEE Computer Society, (2012)Multimodal Neuroimaging Predictors for Cognitive Performance Using Structured Sparse Learning., , , , , , , , , and . MBIA, volume 7509 of Lecture Notes in Computer Science, page 1-17. Springer, (2012)A Graph-Based Integration of Multimodal Brain Imaging Data for the Detection of Early Mild Cognitive Impairment (E-MCI)., , , , , , , and . MBIA, volume 8159 of Lecture Notes in Computer Science, page 159-169. Springer, (2013)Sparse Bayesian Learning for Identifying Imaging Biomarkers in AD Prediction., , , , , , and . MICCAI (3), volume 6363 of Lecture Notes in Computer Science, page 611-618. Springer, (2010)Quantitative trait loci identification for brain endophenotypes via new additive model with random networks., , , , , , , and . Bioinformatics, 34 (17): i866-i874 (2018)Network approaches to systems biology analysis of complex disease: integrative methods for multi-omics data., , , and . Briefings in Bioinformatics, 19 (6): 1370-1381 (2018)Diagnosis Status Guided Brain Imaging Genetics Via Integrated Regression And Sparse Canonical Correlation Analysis., , , , , , and . ISBI, page 356-359. IEEE, (2019)