APA (7th ed.) Citation

Wilkinson, D. C., Tallman, E., Ashraf, M., Romer, T. G., Lee, J., Burnett, B., & Bushel, P. R. (2024). A Strategy to Compare Single-Cell RNA Sequencing Data Sets Provides Phenotypic Insight into Cellular Heterogeneity Underlying Biological Similarities and Differences Between Samples. Bioinformatics and biology insights, 18, 11779322241280866. https://doi.org/10.1177/11779322241280866

Chicago Style (17th ed.) Citation

Wilkinson, Dan C., Elizabeth Tallman, Mishal Ashraf, Tatiana Gelaf Romer, Jeehoon Lee, Benjamin Burnett, and Pierre R. Bushel. "A Strategy to Compare Single-Cell RNA Sequencing Data Sets Provides Phenotypic Insight into Cellular Heterogeneity Underlying Biological Similarities and Differences Between Samples." Bioinformatics and Biology Insights 18 (2024): 11779322241280866. https://doi.org/10.1177/11779322241280866.

MLA (9th ed.) Citation

Wilkinson, Dan C., et al. "A Strategy to Compare Single-Cell RNA Sequencing Data Sets Provides Phenotypic Insight into Cellular Heterogeneity Underlying Biological Similarities and Differences Between Samples." Bioinformatics and Biology Insights, vol. 18, 2024, p. 11779322241280866, https://doi.org/10.1177/11779322241280866.