APA (7th ed.) Citation

Zhao, J., He, J., Guan, P., Bao, H., Zhao, X., Zhao, C., . . . Xu, G. (2025). MODAPro: Explainable Heterogeneous Networks with Variational Graph Autoencoder for Mining Disease-Specific Functional Molecules and Pathways from Omics Data. Analytical chemistry (Washington), 97(42), 23222. https://doi.org/10.1021/acs.analchem.5c03611

Chicago Style (17th ed.) Citation

Zhao, Jinhui, Jiarui He, Pengwei Guan, Han Bao, Xinjie Zhao, Chunxia Zhao, Wangshu Qin, Xin Lu, and Guowang Xu. "MODAPro: Explainable Heterogeneous Networks with Variational Graph Autoencoder for Mining Disease-Specific Functional Molecules and Pathways from Omics Data." Analytical Chemistry (Washington) 97, no. 42 (2025): 23222. https://doi.org/10.1021/acs.analchem.5c03611.

MLA (9th ed.) Citation

Zhao, Jinhui, et al. "MODAPro: Explainable Heterogeneous Networks with Variational Graph Autoencoder for Mining Disease-Specific Functional Molecules and Pathways from Omics Data." Analytical Chemistry (Washington), vol. 97, no. 42, 2025, p. 23222, https://doi.org/10.1021/acs.analchem.5c03611.