Copy Number Variation Informs fMRI-based Prediction of Autism Spectrum Disorder. (arXiv:2308.05122v1 [q-bio.QM])

The multifactorial etiology of autism spectrum disorder (ASD) suggests that
its study would benefit greatly from multimodal approaches that combine data
from widely varying platforms, e.g., neuroimaging, genetics, and clinical
characterization. Prior neuroimaging-genetic analyses often apply naive feature
concatenation approaches in data-driven work or use the findings from one
modality to guide posthoc analysis of another, missing the opportunity to
analyze the paired multimodal data in a truly unified approach. In this paper,
we develop a more integrative model for …

apply arxiv autism benefit bio data data-driven feature fmri genetics multimodal neuroimaging platforms prediction prior spectrum study variation work