Cite
Computational analysis and prediction of lysine malonylation sites by exploiting informative features in an integrative machine-learning framework.
MLA
Zhang, Yanju, et al. “Computational Analysis and Prediction of Lysine Malonylation Sites by Exploiting Informative Features in an Integrative Machine-Learning Framework.” Briefings in Bioinformatics, vol. 20, no. 6, Nov. 2019, pp. 2185–99. EBSCOhost, https://doi.org/10.1093/bib/bby079.
APA
Zhang, Y., Xie, R., Wang, J., Leier, A., Marquez-Lago, T. T., Akutsu, T., Webb, G. I., Chou, K.-C., & Song, J. (2019). Computational analysis and prediction of lysine malonylation sites by exploiting informative features in an integrative machine-learning framework. Briefings in Bioinformatics, 20(6), 2185–2199. https://doi.org/10.1093/bib/bby079
Chicago
Zhang, Yanju, Ruopeng Xie, Jiawei Wang, André Leier, Tatiana T Marquez-Lago, Tatsuya Akutsu, Geoffrey I Webb, Kuo-Chen Chou, and Jiangning Song. 2019. “Computational Analysis and Prediction of Lysine Malonylation Sites by Exploiting Informative Features in an Integrative Machine-Learning Framework.” Briefings in Bioinformatics 20 (6): 2185–99. doi:10.1093/bib/bby079.