Liu, Y.; He, R.; Qu, Y.; Zhu, Y.; Li, D.; Ling, X.; Xia, S.; Li, Z.; Li, D.
Integration of Human Protein Sequence and Protein-Protein Interaction Data by Graph Autoencoder to Identify Novel Protein-Abnormal Phenotype Associations. Cells 2022, 11, 2485.
https://doi.org/10.3390/cells11162485
AMA Style
Liu Y, He R, Qu Y, Zhu Y, Li D, Ling X, Xia S, Li Z, Li D.
Integration of Human Protein Sequence and Protein-Protein Interaction Data by Graph Autoencoder to Identify Novel Protein-Abnormal Phenotype Associations. Cells. 2022; 11(16):2485.
https://doi.org/10.3390/cells11162485
Chicago/Turabian Style
Liu, Yuan, Ruirui He, Yingjie Qu, Yuan Zhu, Dianke Li, Xinping Ling, Simin Xia, Zhenqiu Li, and Dong Li.
2022. "Integration of Human Protein Sequence and Protein-Protein Interaction Data by Graph Autoencoder to Identify Novel Protein-Abnormal Phenotype Associations" Cells 11, no. 16: 2485.
https://doi.org/10.3390/cells11162485
APA Style
Liu, Y., He, R., Qu, Y., Zhu, Y., Li, D., Ling, X., Xia, S., Li, Z., & Li, D.
(2022). Integration of Human Protein Sequence and Protein-Protein Interaction Data by Graph Autoencoder to Identify Novel Protein-Abnormal Phenotype Associations. Cells, 11(16), 2485.
https://doi.org/10.3390/cells11162485