Introducing enzymatic cleavage features and transfer learning realizes accurate peptide half-life prediction across species and organs.

MLA

Tan, Xiaorong, et al. “Introducing Enzymatic Cleavage Features and Transfer Learning Realizes Accurate Peptide Half-Life Prediction across Species and Organs.” Briefings in Bioinformatics, vol. 25, no. 4, July 2024, pp. 1–12. EBSCOhost, https://doi.org/10.1093/bib/bbae350.

APA

Tan, X., Liu, Q., Fang, Y., Yang, S., Chen, F., Wang, J., Ouyang, D., Dong, J., & Zeng, W. (2024). Introducing enzymatic cleavage features and transfer learning realizes accurate peptide half-life prediction across species and organs. Briefings in Bioinformatics, 25(4), 1–12. https://doi.org/10.1093/bib/bbae350

Chicago

Tan, Xiaorong, Qianhui Liu, Yanpeng Fang, Sen Yang, Fei Chen, Jianmin Wang, Defang Ouyang, Jie Dong, and Wenbin Zeng. 2024. “Introducing Enzymatic Cleavage Features and Transfer Learning Realizes Accurate Peptide Half-Life Prediction across Species and Organs.” Briefings in Bioinformatics 25 (4): 1–12. doi:10.1093/bib/bbae350.