APA (7th ed.) Citation

Crook, O. M., Mulvey, C. M., Kirk, P. D. W., Lilley, K. S., & Gatto, L. (2018). A Bayesian mixture modelling approach for spatial proteomics. PLoS Computational Biology, 14(11), 1. https://doi.org/10.1371/journal.pcbi.1006516

Chicago Style (17th ed.) Citation

Crook, Oliver M., Claire M. Mulvey, Paul D. W. Kirk, Kathryn S. Lilley, and Laurent Gatto. "A Bayesian Mixture Modelling Approach for Spatial Proteomics." PLoS Computational Biology 14, no. 11 (2018): 1. https://doi.org/10.1371/journal.pcbi.1006516.

MLA (9th ed.) Citation

Crook, Oliver M., et al. "A Bayesian Mixture Modelling Approach for Spatial Proteomics." PLoS Computational Biology, vol. 14, no. 11, 2018, p. 1, https://doi.org/10.1371/journal.pcbi.1006516.