2 citations · 5 across the 6 of their papers we have counts for
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Bayesian thresholded modeling for integrating brain node and network predictors
Zhe Sun, Wanwan Xu, Tianxi Li +3
Progress in neuroscience has provided unprecedented opportunities to advance our understanding of brain alterations and their correspondence to phenotypic profiles. With data colle…
Bayesian pathway analysis over brain network mediators for survival data
Xinyuan Tian, Fan Li, Li Shen +2
Technological advancements in noninvasive imaging facilitate the construction of whole brain interconnected networks, known as brain connectivity. Existing approaches to analyze br…
Inference-based statistical network analysis uncovers star-like brain functional architectures for internalizing psychopathology in children
Selena Wang, Yunhe Liu, Wanwan Xu +2
To improve the statistical power for imaging biomarker detection, we propose a latent variable-based statistical network analysis (LatentSNA) that combines brain functional connect…
Bayesian mixed model inference for genetic association under related samples with brain network phenotype
Xinyuan Tian, Yiting Wang, Selena Wang +2
Genetic association studies for brain connectivity phenotypes have gained prominence due to advances in non-invasive imaging techniques and quantitative genetics. Brain connectivit…