Koutrouli, M., Nastou, K., Líndez, P. P., Bouwmeester, R., Rasmussen, S., Martens, L., & Jensen, L. J. (2024). FAVA: high-quality functional association networks inferred from sc RNA-seq and proteomics data. Bioinformatics, 40(2), 1-11. https://doi.org/10.1093/bioinformatics/btae010
ISO-690 (author-date, English)KOUTROULI, Mikaela, NASTOU, Katerina, LÍNDEZ, Pau Piera, BOUWMEESTER, Robbin, RASMUSSEN, Simon, MARTENS, Lennart and JENSEN, Lars Juhl, 2024. FAVA: high-quality functional association networks inferred from sc RNA-seq and proteomics data. Bioinformatics. 1 February 2024. Vol. 40, no. 2, p. 1-11. DOI 10.1093/bioinformatics/btae010.
Modern Language Association 9th editionKoutrouli, M., K. Nastou, P. P. Líndez, R. Bouwmeester, S. Rasmussen, L. Martens, and L. J. Jensen. “FAVA: High-Quality Functional Association Networks Inferred from Sc RNA-Seq and Proteomics Data.”. Bioinformatics, vol. 40, no. 2, Feb. 2024, pp. 1-11, https://doi.org/10.1093/bioinformatics/btae010.
Mohr Siebeck - Recht (Deutsch - Österreich)Koutrouli, Mikaela/Nastou, Katerina/Líndez, Pau Piera/Bouwmeester, Robbin/Rasmussen, Simon/Martens, Lennart et al.: FAVA: high-quality functional association networks inferred from sc RNA-seq and proteomics data., Bioinformatics 2024, 1-11.
Emerald - HarvardKoutrouli, M., Nastou, K., Líndez, P.P., Bouwmeester, R., Rasmussen, S., Martens, L. and Jensen, L.J. (2024), “FAVA: high-quality functional association networks inferred from sc RNA-seq and proteomics data.”, Bioinformatics, Vol. 40 No. 2, pp. 1-11.