APA (7th ed.) Citation

L, H., J, Z., W, G., G, Z., H, P., & D, C. (2026). SECTOR: Structural entropy-based learning of spatiotemporal organisation in spatial transcriptomics. Bioinformatics (Oxford, England), 42(6), . https://doi.org/10.1093/bioinformatics/btag367

Chicago Style (17th ed.) Citation

L, Huang, Zhang J, Gong W, Zeng G, Peng H, and Chen D. "SECTOR: Structural Entropy-based Learning of Spatiotemporal Organisation in Spatial Transcriptomics." Bioinformatics (Oxford, England) 42, no. 6 (2026). https://doi.org/10.1093/bioinformatics/btag367.

MLA (9th ed.) Citation

L, Huang, et al. "SECTOR: Structural Entropy-based Learning of Spatiotemporal Organisation in Spatial Transcriptomics." Bioinformatics (Oxford, England), vol. 42, no. 6, 2026, https://doi.org/10.1093/bioinformatics/btag367.