Genetic & Genomic MedicinemedRxivPreprint
Vision Transformer Autoencoders for Unsupervised Representation Learning: Revealing Novel Genetic Associations through Learned Sparse Attention Patterns
Samia R. Islam, Wei He, Ziqian Xie, Degui Zhi
This paper uses a vision transformer autoencoder to extract brain imaging phenotypes and identifies 10 novel genetic loci associated with brain structure, 3 of which were previously unreported.