Deep embedded clustering by relevant scales and genome-wide association study in autism
Fumihiko Ueno, Tomomi Onuma, Ippei Takahashi, Hisashi Ohseto, Akira Narita, Taku Obara, Mami Ishikuro, Keiko Murakami, Aoi Noda, Fumiko Matsuzaki, Hirohito Metoki, Gen Tamiya, Shigeo Kure, Shinichi Kuriyama
The paper clusters ASD patients using a deep embedded algorithm and performs cluster-based GWAS, identifying 90 significant loci associated with ASD subgroups.
PLoS ONE · May 29, 2025Peer-reviewedGenomics