APA (7th ed.) Citation

SJ, D. S., AC, M., JD, S., & GB, G. (2026). Not every gene is special: Modelling scale controls the false discovery rate when analysing high-throughput sequencing data. PLoS computational biology, 22(9), e1014728. https://doi.org/10.1371/journal.pcbi.1014728

Chicago Style (17th ed.) Citation

SJ, Dos Santos, Murariu AC, Silverman JD, and Gloor GB. "Not Every Gene Is Special: Modelling Scale Controls the False Discovery Rate When Analysing High-throughput Sequencing Data." PLoS Computational Biology 22, no. 9 (2026): e1014728. https://doi.org/10.1371/journal.pcbi.1014728.

MLA (9th ed.) Citation

SJ, Dos Santos, et al. "Not Every Gene Is Special: Modelling Scale Controls the False Discovery Rate When Analysing High-throughput Sequencing Data." PLoS Computational Biology, vol. 22, no. 9, 2026, p. e1014728, https://doi.org/10.1371/journal.pcbi.1014728.