HAL-X: Scalable hierarchical clustering for rapid and tunable single-cell analysis.

MLA

Anibal, James, et al. “HAL-X: Scalable Hierarchical Clustering for Rapid and Tunable Single-Cell Analysis.” PLoS Computational Biology, vol. 18, no. 10, Oct. 2022, pp. 1–18. EBSCOhost, https://doi.org/10.1371/journal.pcbi.1010349.

APA

Anibal, J., Day, A. G., Bahadiroglu, E., O’Neil, L., Phan, L., Peltekian, A., Erez, A., Kaplan, M., Altan-Bonnet, G., & Mehta, P. (2022). HAL-X: Scalable hierarchical clustering for rapid and tunable single-cell analysis. PLoS Computational Biology, 18(10), 1–18. https://doi.org/10.1371/journal.pcbi.1010349

Chicago

Anibal, James, Alexandre G. Day, Erol Bahadiroglu, Liam O’Neil, Long Phan, Alec Peltekian, Amir Erez, Mariana Kaplan, Grégoire Altan-Bonnet, and Pankaj Mehta. 2022. “HAL-X: Scalable Hierarchical Clustering for Rapid and Tunable Single-Cell Analysis.” PLoS Computational Biology 18 (10): 1–18. doi:10.1371/journal.pcbi.1010349.