Klein, H., Schäfer, M., Bennett, D. A., Schwender, H., & De Jager, P. L. (2020). Bayesian integrative analysis of epigenomic and transcriptomic data identifies Alzheimer's disease candidate genes and networks. PLoS computational biology, 16(4), e1007771. https://doi.org/10.1371/journal.pcbi.1007771
Chicago Style (17th ed.) CitationKlein, Hans-Ulrich, Martin Schäfer, David A. Bennett, Holger Schwender, and Philip L. De Jager. "Bayesian Integrative Analysis of Epigenomic and Transcriptomic Data Identifies Alzheimer's Disease Candidate Genes and Networks." PLoS Computational Biology 16, no. 4 (2020): e1007771. https://doi.org/10.1371/journal.pcbi.1007771.
MLA (9th ed.) CitationKlein, Hans-Ulrich, et al. "Bayesian Integrative Analysis of Epigenomic and Transcriptomic Data Identifies Alzheimer's Disease Candidate Genes and Networks." PLoS Computational Biology, vol. 16, no. 4, 2020, p. e1007771, https://doi.org/10.1371/journal.pcbi.1007771.