19 citations · 72 across the 13 of their papers we have counts for
4 papers · 1 filter
Statistical learning methods for neuroimaging data analysis with applications
Hongtu Zhu, Tengfei Li, Bingxin Zhao
The aim of this paper is to provide a comprehensive review of statistical challenges in neuroimaging data analysis from neuroimaging techniques to large-scale neuroimaging studies…
A Partially Functional Linear Modeling Framework for Integrating Genetic, Imaging, and Clinical Data
Ting Li, Yang Yu, J. S. Marron +1
This paper is motivated by the joint analysis of genetic, imaging, and clinical (GIC) data collected in the Alzheimer's Disease Neuroimaging Initiative (ADNI) study. We propose a r…
Estimating trans-ancestry genetic correlation with unbalanced data resources
Bingxin Zhao, Xiaochen Yang, Hongtu Zhu
The aim of this paper is to propose a novel estimation method of using genetic-predicted observations to estimate trans-ancestry genetic correlations, which describes how genetic a…
On block-wise and reference panel-based estimators for genetic data prediction in high dimensions
Bingxin Zhao, Shurong Zheng, Hongtu Zhu
Genetic prediction of complex traits and diseases has attracted enormous attention in precision medicine, mainly because it has the potential to translate discoveries from genome-w…