APA (7th ed.) Citation

H, L., H, A., EC, S., CM, B., & G, S. (2026). Deconvolution of haematological cancer methylation patterns reveals a predominantly non-disease related proliferation signal and uncovers true disease associated methylation changes. British journal of cancer, 134(1), 108. https://doi.org/10.1038/s41416-025-03239-3

Chicago Style (17th ed.) Citation

H, Lalchungnunga, Atasoy H, Schwalbe EC, Bacon CM, and Strathdee G. "Deconvolution of Haematological Cancer Methylation Patterns Reveals a Predominantly Non-disease Related Proliferation Signal and Uncovers True Disease Associated Methylation Changes." British Journal of Cancer 134, no. 1 (2026): 108. https://doi.org/10.1038/s41416-025-03239-3.

MLA (9th ed.) Citation

H, Lalchungnunga, et al. "Deconvolution of Haematological Cancer Methylation Patterns Reveals a Predominantly Non-disease Related Proliferation Signal and Uncovers True Disease Associated Methylation Changes." British Journal of Cancer, vol. 134, no. 1, 2026, p. 108, https://doi.org/10.1038/s41416-025-03239-3.

Warning: These citations may not always be 100% accurate.