AUTHOR=Liu Yajie , Chakraborty Nilanjana , Qin Zhaohui S. , Kundu Suprateek ,  The Alzheimer’s Disease Neuroimaging Initiative 

TITLE=Integrative Bayesian tensor regression for imaging genetics applications

JOURNAL=Frontiers in Neuroscience

VOLUME=Volume 17 - 2023

YEAR=2023

URL=https://www.frontiersin.org/journals/neuroscience/articles/10.3389/fnins.2023.1212218

DOI=10.3389/fnins.2023.1212218

ISSN=1662-453X

ABSTRACT=Identifying biomarkers for Alzheimer's disease with a goal of early detection is a fundamental problem in clinical research. Both medical imaging and genetics have contributed informative biomarkers in literature. To further improve the performance, recently, there is an increasing interest in developing analytic approaches that combine data across modalities such as imaging and genetics. However, there are limited methods in literature that are able to systematically combine high-dimensional voxel-level imaging and genetic data for accurate prediction of clinical Liu et al.the advantages of prediction based on combining voxel-level cortical thickness measurements along with transcriptomics features, while accounting for inherent structural information.