Cite
SCAN-ATAC-Sim: a scalable and efficient method for simulating single-cell ATAC-seq data from bulk-tissue experiments.
MLA
Chen, Zhanlin, et al. “SCAN-ATAC-Sim: A Scalable and Efficient Method for Simulating Single-Cell ATAC-Seq Data from Bulk-Tissue Experiments.” Bioinformatics, vol. 37, no. 12, June 2021, pp. 1756–58. EBSCOhost, https://doi.org/10.1093/bioinformatics/btaa1039.
APA
Chen, Z., Zhang, J., Liu, J., Zhang, Z., Zhu, J., Lee, D., Xu, M., & Gerstein, M. (2021). SCAN-ATAC-Sim: a scalable and efficient method for simulating single-cell ATAC-seq data from bulk-tissue experiments. Bioinformatics, 37(12), 1756–1758. https://doi.org/10.1093/bioinformatics/btaa1039
Chicago
Chen, Zhanlin, Jing Zhang, Jason Liu, Zixuan Zhang, Jiangqi Zhu, Donghoon Lee, Min Xu, and Mark Gerstein. 2021. “SCAN-ATAC-Sim: A Scalable and Efficient Method for Simulating Single-Cell ATAC-Seq Data from Bulk-Tissue Experiments.” Bioinformatics 37 (12): 1756–58. doi:10.1093/bioinformatics/btaa1039.