Deep self-representation learning with hyper-laplacian regularization for brain imaging genetics association analysis - Liu, Jin-Xing; Wang, Shuang-Qing; Jiao, Cui-Na; Wu, Tian-Ru; Cui, Xin-Chun; Zheng, Chun-Hou (Methods (San Diego, Calif.), 2025)
Keywords: Algorithms; biomarkers; brain; Brain - diagnostic imaging; Brain Imaging Genetics; Deep Learning; Deep neural network; Genetic Association Studies - methods; Genome-Wide Association Study; Genotype; genotype-phenotype correlation; Humans; Hyper-Laplacian regularized self-representation; Image Processing, Computer-Assisted - methods; Magnetic Resonance Imaging - methods; multivariate analysis; Neural Networks, Computer; Neuroimaging - methods; phenotype; Polymorphism, Single Nucleotide; Sparse canonical correlation analysis; Deep neural network; Hyper-Laplacian regularized self-representation; Brain Imaging Genetics; Sparse canonical correlation analysis