APA (7th ed.) Citation

Rahman, F. A., Suryono, S., Maulana, A. S., & Wulandari, P. (2026). Systems-Level in Silico Bioinformatic Profiling Identifies Key Hub Genes and Potential Therapeutic Targets in Atrial Fibrillation without Overt Comorbidity. Research in Heart Yield & Translational Medicine (RHYTHM), 21(1), 40. https://doi.org/10.18502/jthc.v21i1.21282

Chicago Style (17th ed.) Citation

Rahman, Fadhlan Abdur, Suryono Suryono, Aditha Satria Maulana, and Pipiet Wulandari. "Systems-Level in Silico Bioinformatic Profiling Identifies Key Hub Genes and Potential Therapeutic Targets in Atrial Fibrillation Without Overt Comorbidity." Research in Heart Yield & Translational Medicine (RHYTHM) 21, no. 1 (2026): 40. https://doi.org/10.18502/jthc.v21i1.21282.

MLA (9th ed.) Citation

Rahman, Fadhlan Abdur, et al. "Systems-Level in Silico Bioinformatic Profiling Identifies Key Hub Genes and Potential Therapeutic Targets in Atrial Fibrillation Without Overt Comorbidity." Research in Heart Yield & Translational Medicine (RHYTHM), vol. 21, no. 1, 2026, p. 40, https://doi.org/10.18502/jthc.v21i1.21282.