Guo, J.; Shen, S.; Liu, M.; Wang, C.; Low, B.; Chen, Y.; Hu, Y.; Xing, S.; Yu, H.; Gao, Y.;
et al. JPA: Joint Metabolic Feature Extraction Increases the Depth of Chemical Coverage for LC-MS-Based Metabolomics and Exposomics. Metabolites 2022, 12, 212.
https://doi.org/10.3390/metabo12030212
AMA Style
Guo J, Shen S, Liu M, Wang C, Low B, Chen Y, Hu Y, Xing S, Yu H, Gao Y,
et al. JPA: Joint Metabolic Feature Extraction Increases the Depth of Chemical Coverage for LC-MS-Based Metabolomics and Exposomics. Metabolites. 2022; 12(3):212.
https://doi.org/10.3390/metabo12030212
Chicago/Turabian Style
Guo, Jian, Sam Shen, Min Liu, Chenjingyi Wang, Brian Low, Ying Chen, Yaxi Hu, Shipei Xing, Huaxu Yu, Yu Gao,
and et al. 2022. "JPA: Joint Metabolic Feature Extraction Increases the Depth of Chemical Coverage for LC-MS-Based Metabolomics and Exposomics" Metabolites 12, no. 3: 212.
https://doi.org/10.3390/metabo12030212
APA Style
Guo, J., Shen, S., Liu, M., Wang, C., Low, B., Chen, Y., Hu, Y., Xing, S., Yu, H., Gao, Y., Fang, M., & Huan, T.
(2022). JPA: Joint Metabolic Feature Extraction Increases the Depth of Chemical Coverage for LC-MS-Based Metabolomics and Exposomics. Metabolites, 12(3), 212.
https://doi.org/10.3390/metabo12030212