Systems-Level in Silico Bioinformatic Profiling Identifies Key Hub Genes and Potential Therapeutic Targets in Atrial Fibrillation without Overt Comorbidity.
- DOI
- 10.18502/jthc.v21i1.21282
- Published
- 2026
- Container
- Research in heart yield and translational medicine
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.18502/jthc.v21i1.21282,
title = {Systems-Level in Silico Bioinformatic Profiling Identifies Key Hub Genes and Potential Therapeutic Targets in Atrial Fibrillation without Overt Comorbidity.},
author = {Abdur Rahman F and Suryono S and Satria Maulana A and Wulandari P},
year = {2026},
journal = {Research in heart yield and translational medicine},
doi = {10.18502/jthc.v21i1.21282},
url = {https://doi.org/10.18502/jthc.v21i1.21282}
}RIS
TY - JOUR TI - Systems-Level in Silico Bioinformatic Profiling Identifies Key Hub Genes and Potential Therapeutic Targets in Atrial Fibrillation without Overt Comorbidity. AU - Abdur Rahman F AU - Suryono S AU - Satria Maulana A AU - Wulandari P PY - 2026 JO - Research in heart yield and translational medicine DO - 10.18502/jthc.v21i1.21282 UR - https://doi.org/10.18502/jthc.v21i1.21282 ER -
APA
F, A. R., S, S., A, S. M., & P, W. (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 and translational medicine. https://doi.org/10.18502/jthc.v21i1.21282
Source records
- pubmed · retrieved 2026-09-27T14:31:03.398Z