American Psychological Association 6th edition

Qin, H., Garbulowski, M., Sonnhammer, E. L. L., & Chatterjee, S. (2025). Bi GSM: Bayesian inference of gene regulatory network via sparse modelling Open Access. Bioinformatics, 41(6), 1-9. https://doi.org/10.1093/bioinformatics/btaf318

ISO-690 (author-date, English)

QIN, Hang, GARBULOWSKI, Mateusz, SONNHAMMER, Erik L L und CHATTERJEE, Saikat, 2025. Bi GSM: Bayesian inference of gene regulatory network via sparse modelling Open Access. Bioinformatics. 1 Juni 2025. Vol. 41, no. 6, p. 1-9. DOI 10.1093/bioinformatics/btaf318.

Modern Language Association 9th edition

Qin, H., M. Garbulowski, E. L. L. Sonnhammer, und S. Chatterjee. „Bi GSM: Bayesian Inference of Gene Regulatory Network via Sparse Modelling Open Access.“. Bioinformatics, Bd. 41, Nr. 6, Juni 2025, S. 1-9, https://doi.org/10.1093/bioinformatics/btaf318.

Mohr Siebeck - Recht (Deutsch - Österreich)

Qin, Hang/Garbulowski, Mateusz/Sonnhammer, Erik L L/Chatterjee, Saikat: Bi GSM: Bayesian inference of gene regulatory network via sparse modelling Open Access., Bioinformatics 2025, 1-9.

Emerald - Harvard

Qin, H., Garbulowski, M., Sonnhammer, E.L.L. und Chatterjee, S. (2025), „Bi GSM: Bayesian inference of gene regulatory network via sparse modelling Open Access.“, Bioinformatics, Vol. 41 No. 6, S. 1-9.

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.