APA (7th ed.) Citation

Smith, M., Chan, R., Khurram, M., & Gordon, P. M. K. (2021). Evaluating the effectiveness of ensemble voting in improving the accuracy of consensus signals produced by various DTWA algorithms from step-current signals generated during nanopore sequencing. PLoS computational biology, 17(9), e1009350. https://doi.org/10.1371/journal.pcbi.1009350

Chicago Style (17th ed.) Citation

Smith, Michael, Rachel Chan, Maaz Khurram, and Paul M. K. Gordon. "Evaluating the Effectiveness of Ensemble Voting in Improving the Accuracy of Consensus Signals Produced by Various DTWA Algorithms from Step-current Signals Generated During Nanopore Sequencing." PLoS Computational Biology 17, no. 9 (2021): e1009350. https://doi.org/10.1371/journal.pcbi.1009350.

MLA (9th ed.) Citation

Smith, Michael, et al. "Evaluating the Effectiveness of Ensemble Voting in Improving the Accuracy of Consensus Signals Produced by Various DTWA Algorithms from Step-current Signals Generated During Nanopore Sequencing." PLoS Computational Biology, vol. 17, no. 9, 2021, p. e1009350, https://doi.org/10.1371/journal.pcbi.1009350.