Partial least squares modelling for imaging-genetics in Alzheimer's disease: Plausibility and generalization
Year: 2016
Type: conference-paper
Abstract: In this work we evaluate the ability of PLS in generalizing to unseen clinical cohorts when applied to the analysis of the joint variation between genotype and phenotype in Alzheimer's disease (AD). The model is trained on single-nucleotide polymorphisms (SNPs) and brain volumes obtained from the ADNI database for a large cohort of healthy individuals and AD patients, and validated on the ADNI MCI and ENIGMA cohorts. The experimental results confirm the ability of PLS in providing a meaningful description of the joint dynamics between brain atrophy and genotype data in AD, while providing important generalization results when tested on clinically heterogeneous cohorts.
Institutions: University College London, University of Southern California
Language: English
Subfield: Psychiatry and Mental health
Field: Medicine
Domain: Health Sciences
Open Access status: green
Awards: G7486377412, G8268424837
OpenAlex ID: W2430148132
