Lian, A., Li, Y., He, W., Luo, X., Jin, L., & Li, C. (2026). Bioinformatics, Machine Learning and Functional Validation Reveal Mitophagy-Related FABP5 and HMOX1 as Diagnostic and Therapeutic Targets in Polycystic Ovary Syndrome. Reproductive Sciences, 33(10), 2018. https://doi.org/10.1007/s43032-026-02156-x
Παραπομπή σε μορφή Chicago (17η εκδ.)Lian, Aiqin, Yuxin Li, Weijun He, Xinjian Luo, Long Jin, και Chaohui Li. "Bioinformatics, Machine Learning and Functional Validation Reveal Mitophagy-Related FABP5 and HMOX1 as Diagnostic and Therapeutic Targets in Polycystic Ovary Syndrome." Reproductive Sciences 33, no. 10 (2026): 2018. https://doi.org/10.1007/s43032-026-02156-x.
Παραπομπή σε μορφή MLA (9th εκδ.)Lian, Aiqin, et al. "Bioinformatics, Machine Learning and Functional Validation Reveal Mitophagy-Related FABP5 and HMOX1 as Diagnostic and Therapeutic Targets in Polycystic Ovary Syndrome." Reproductive Sciences, vol. 33, no. 10, 2026, p. 2018, https://doi.org/10.1007/s43032-026-02156-x.