For ADNI-1 training dataset, in the classification task of AD vs. NC, the \documentclass[12pt]{minimal}\usepackage{amsmath}\usepackage{wasysym}\usepackage{amsfonts}\usepackage{amssymb}\usepackage{amsbsy}\usepackage{upgreek}\usepackage{mathrsfs}\setlength{\oddsidemargin}{-69pt}\begin{document}$T{f^{NGA - RA}}$\end{document}TfNGA−RA showed statistically significant improvements compared to all of the four models: CNN3-D, p = 0.001; VGG3-D, p = 0.014; ResNet-3D, p = 0.039; and TF, p = 0.028. This evidence concerns the gene CNN3 and Alzheimer disease.