PA, E., TE, G., E, R., AD, M., & NJ, B. (2022). Bayesian inference of multi-point macromolecular architecture mixtures at nanometre resolution. PLoS computational biology, 18(12), e1010765. https://doi.org/10.1371/journal.pcbi.1010765
Chicago Style (17th ed.) CitationPA, Embacher, Germanova TE, Roscioli E, McAinsh AD, and Burroughs NJ. "Bayesian Inference of Multi-point Macromolecular Architecture Mixtures at Nanometre Resolution." PLoS Computational Biology 18, no. 12 (2022): e1010765. https://doi.org/10.1371/journal.pcbi.1010765.
MLA (9th ed.) CitationPA, Embacher, et al. "Bayesian Inference of Multi-point Macromolecular Architecture Mixtures at Nanometre Resolution." PLoS Computational Biology, vol. 18, no. 12, 2022, p. e1010765, https://doi.org/10.1371/journal.pcbi.1010765.