research
∙
03/22/2023
Learning Brain Connectivity in Social Cognition with Dynamic Network Regression
Dynamic networks have been increasingly used to characterize brain conne...
share
research
∙
09/08/2022
Statistical Inference of Cell-type Proportions Estimated from Bulk Expression Data
There is a growing interest in cell-type-specific analysis from bulk sam...
research
∙
04/15/2021
Heterogeneous Tensor Mixture Models in High Dimensions
We consider the problem of jointly modeling and clustering populations o...
research
∙
10/25/2020
Detecting abnormal connectivity in schizophrenia via a joint directed acyclic graph estimation model
Functional connectivity (FC) has been widely used to study brain network...
research
∙
09/30/2020
Distance Correlation Based Brain Functional Connectivity Estimation and Non-Convex Multi-Task Learning for Developmental fMRI Studies
Resting-state functional magnetic resonance imaging (rs-fMRI)-derived fu...
research
∙
06/16/2020
Causal inference of brain connectivity from fMRI with ψ-Learning Incorporated Linear non-Gaussian Acyclic Model (ψ-LiNGAM)
Functional connectivity (FC) has become a primary means of understanding...
research
∙
06/16/2020
Interpretable multimodal fusion networks reveal mechanisms of brain cognition
Multimodal fusion benefits disease diagnosis by providing a more compreh...
research
∙
04/07/2020