APA (7th ed.) Citation

Li, Z., Katz, S., Saccenti, E., Fardo, D. W., Claes, P., Martins dos Santos, V. A. P., . . . Roshchupkin, G. V. (2024). Novel multi-omics deconfounding variational autoencoders can obtain meaningful disease subtyping. Briefings in bioinformatics, 25(6), 512. https://doi.org/10.1093/bib/bbae512

Chicago Style (17th ed.) Citation

Li, Zuqi, Sonja Katz, Edoardo Saccenti, David W. Fardo, Peter Claes, Vitor A P. Martins dos Santos, Kristel Van Steen, and Gennady V. Roshchupkin. "Novel Multi-omics Deconfounding Variational Autoencoders Can Obtain Meaningful Disease Subtyping." Briefings in Bioinformatics 25, no. 6 (2024): 512. https://doi.org/10.1093/bib/bbae512.

MLA (9th ed.) Citation

Li, Zuqi, et al. "Novel Multi-omics Deconfounding Variational Autoencoders Can Obtain Meaningful Disease Subtyping." Briefings in Bioinformatics, vol. 25, no. 6, 2024, p. 512, https://doi.org/10.1093/bib/bbae512.