APA (7th ed.) Citation

Wu, P. C., Lee, Y. Q., Möller, M., Storry, J. R., & Olsson, M. L. (2023). Elucidation of the low-expressing erythroid CR1 phenotype by bioinformatic mining of the GATA1-driven blood-group regulome. Nature Portfolio.

Chicago Style (17th ed.) Citation

Wu, Ping Chun, Yan Quan Lee, Mattias Möller, Jill R. Storry, and Martin L. Olsson. Elucidation of the Low-expressing Erythroid CR1 Phenotype by Bioinformatic Mining of the GATA1-driven Blood-group Regulome. Nature Portfolio, 2023.

MLA (9th ed.) Citation

Wu, Ping Chun, et al. Elucidation of the Low-expressing Erythroid CR1 Phenotype by Bioinformatic Mining of the GATA1-driven Blood-group Regulome. Nature Portfolio, 2023.