Cite
SIMLIN: a bioinformatics tool for prediction of S-sulphenylation in the human proteome based on multi-stage ensemble-learning models.
MLA
Wang, Xiaochuan, et al. “SIMLIN: A Bioinformatics Tool for Prediction of S-Sulphenylation in the Human Proteome Based on Multi-Stage Ensemble-Learning Models.” BMC Bioinformatics, vol. 20, no. 1, Nov. 2019, p. N.PAG. EBSCOhost, https://doi.org/10.1186/s12859-019-3178-6.
APA
Wang, X., Li, C., Li, F., Sharma, V. S., Song, J., & Webb, G. I. (2019). SIMLIN: a bioinformatics tool for prediction of S-sulphenylation in the human proteome based on multi-stage ensemble-learning models. BMC Bioinformatics, 20(1), N.PAG. https://doi.org/10.1186/s12859-019-3178-6
Chicago
Wang, Xiaochuan, Chen Li, Fuyi Li, Varun S. Sharma, Jiangning Song, and Geoffrey I. Webb. 2019. “SIMLIN: A Bioinformatics Tool for Prediction of S-Sulphenylation in the Human Proteome Based on Multi-Stage Ensemble-Learning Models.” BMC Bioinformatics 20 (1): N.PAG. doi:10.1186/s12859-019-3178-6.