Cite
Multi-modal imaging genetics data fusion by deep auto-encoder and self-representation network for Alzheimer's disease diagnosis and biomarkers extraction.
MLA
Jiao, Cui-Na, et al. “Multi-Modal Imaging Genetics Data Fusion by Deep Auto-Encoder and Self-Representation Network for Alzheimer’s Disease Diagnosis and Biomarkers Extraction.” Engineering Applications of Artificial Intelligence, vol. 130, Apr. 2024, p. N.PAG. EBSCOhost, https://doi.org/10.1016/j.engappai.2023.107782.
APA
Jiao, C.-N., Gao, Y.-L., Ge, D.-H., Shang, J., & Liu, J.-X. (2024). Multi-modal imaging genetics data fusion by deep auto-encoder and self-representation network for Alzheimer’s disease diagnosis and biomarkers extraction. Engineering Applications of Artificial Intelligence, 130, N.PAG. https://doi.org/10.1016/j.engappai.2023.107782
Chicago
Jiao, Cui-Na, Ying-Lian Gao, Dao-Hui Ge, Junliang Shang, and Jin-Xing Liu. 2024. “Multi-Modal Imaging Genetics Data Fusion by Deep Auto-Encoder and Self-Representation Network for Alzheimer’s Disease Diagnosis and Biomarkers Extraction.” Engineering Applications of Artificial Intelligence 130 (April): N.PAG. doi:10.1016/j.engappai.2023.107782.