APA (7th ed.) Citation

Y, X., SJ, F., B, W., EG, S., M, B., & BX, H. (2025). multiVIB: A unified probabilistic contrastive learning framework for atlas-scale integration of single-cell multi-omics data. BioRxiv : the preprint server for biology. https://doi.org/10.1101/2025.11.29.691308

Chicago Style (17th ed.) Citation

Y, Xu, Fleming SJ, Wang B, Schoenbeck EG, Babadi M, and Huo BX. "MultiVIB: A Unified Probabilistic Contrastive Learning Framework for Atlas-scale Integration of Single-cell Multi-omics Data." BioRxiv : The Preprint Server for Biology 2025. https://doi.org/10.1101/2025.11.29.691308.

MLA (9th ed.) Citation

Y, Xu, et al. "MultiVIB: A Unified Probabilistic Contrastive Learning Framework for Atlas-scale Integration of Single-cell Multi-omics Data." BioRxiv : The Preprint Server for Biology, 2025, https://doi.org/10.1101/2025.11.29.691308.