Deep Learning for Statistical Inference in Imaging Genetics

Explore deep learning applications for statistical inference in imaging genetics through this 35-minute conference talk from the Computational Genomics Summer Institute. Learn how to apply advanced machine learning techniques to analyze genetic data from medical imaging, with particular focus on brain MRI data analysis and genome-wide association studies (GWAS). Discover transferGWAS methodology for conducting GWAS on imaging data using deep transfer learning approaches, and understand two-sample testing frameworks that leverage deep learning for statistical inference. Examine practical implementations including T1-weighted brain MRI data analysis from the UK Biobank, and gain insights into how deep learning can enhance traditional statistical methods in computational genomics and medical imaging research.