Sammut, S., Gresova, K., Tzimotoudis, D., Marsalkova, E., Cechak, D., & Alexiou, P. (2025). mi RBench: novel benchmark datasets for micro RNA binding site prediction that mitigate against prevalent micro RNA frequency class bias Open Access. Bioinformatics, 41, i542-9. https://doi.org/10.1093/bioinformatics/btaf233
ISO-690 (author-date, English)SAMMUT, Stephanie, GRESOVA, Katarina, TZIMOTOUDIS, Dimosthenis, MARSALKOVA, Eva, CECHAK, David and ALEXIOU, Panagiotis, 2025. mi RBench: novel benchmark datasets for micro RNA binding site prediction that mitigate against prevalent micro RNA frequency class bias Open Access. Bioinformatics. 2 July 2025. Vol. 41, , p. i542-9. DOI 10.1093/bioinformatics/btaf233.
Modern Language Association 9th editionSammut, S., K. Gresova, D. Tzimotoudis, E. Marsalkova, D. Cechak, and P. Alexiou. “Mi RBench: Novel Benchmark Datasets for Micro RNA Binding Site Prediction That Mitigate Against Prevalent Micro RNA Frequency Class Bias Open Access.”. Bioinformatics, vol. 41, July 2025, pp. i542-9, https://doi.org/10.1093/bioinformatics/btaf233.
Mohr Siebeck - Recht (Deutsch - Österreich)Sammut, Stephanie/Gresova, Katarina/Tzimotoudis, Dimosthenis/Marsalkova, Eva/Cechak, David/Alexiou, Panagiotis: mi RBench: novel benchmark datasets for micro RNA binding site prediction that mitigate against prevalent micro RNA frequency class bias Open Access., Bioinformatics 2025, i542-9.
Emerald - HarvardSammut, S., Gresova, K., Tzimotoudis, D., Marsalkova, E., Cechak, D. and Alexiou, P. (2025), “mi RBench: novel benchmark datasets for micro RNA binding site prediction that mitigate against prevalent micro RNA frequency class bias Open Access.”, Bioinformatics, Vol. 41, pp. i542-9.