Feature attention graph neural network for estimating brain age and identifying important neural connections in mouse models of genetic risk for Alzheimer's disease.
Publication
, Preprint
Moon, HS; Mahzarnia, A; Stout, J; Anderson, RJ; Badea, CT; Badea, A
December 14, 2023
Duke Scholars
Altmetric Attention Stats
Dimensions Citation Stats
Citation
APA
Chicago
ICMJE
MLA
NLM
Moon, H. S., Mahzarnia, A., Stout, J., Anderson, R. J., Badea, C. T., & Badea, A. (2023). Feature attention graph neural network for estimating brain age and identifying important neural connections in mouse models of genetic risk for Alzheimer's disease. https://doi.org/10.1101/2023.12.13.571574
Moon, Hae Sol, Ali Mahzarnia, Jacques Stout, Robert J. Anderson, Cristian T. Badea, and Alexandra Badea. “Feature attention graph neural network for estimating brain age and identifying important neural connections in mouse models of genetic risk for Alzheimer's disease.,” December 14, 2023. https://doi.org/10.1101/2023.12.13.571574.
Moon HS, Mahzarnia A, Stout J, Anderson RJ, Badea CT, Badea A. Feature attention graph neural network for estimating brain age and identifying important neural connections in mouse models of genetic risk for Alzheimer's disease. 2023.
Moon, Hae Sol, et al. Feature attention graph neural network for estimating brain age and identifying important neural connections in mouse models of genetic risk for Alzheimer's disease. 14 Dec. 2023. Pubmed, doi:10.1101/2023.12.13.571574.
Moon HS, Mahzarnia A, Stout J, Anderson RJ, Badea CT, Badea A. Feature attention graph neural network for estimating brain age and identifying important neural connections in mouse models of genetic risk for Alzheimer's disease. 2023.