Ionic and cellular mechanisms underlying TBX5/PITX2 insufficiency-induced atrial fibrillation: Insights from mathematical models of human atrial cells
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Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
http://www.nature.com/articles/s41598-018-33958-y.pdf
Reference71 articles.
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3. Xiong, Z. et al. A Machine Learning Aided Systematic Review and Meta-Analysis of the Relative Risk of Atrial Fibrillation in Patients With Diabetes Mellitus. Frontiers in physiology 9, 835, https://doi.org/10.3389/fphys.2018.00835 (2018).
4. Olesen, M. S., Nielsen, M. W., Haunsø, S. & Svendsen, J. H. Atrial fibrillation: the role of common and rare genetic variants. Eur J Hum Genet 22, 297–306, https://doi.org/10.1038/ejhg.2013.139 (2013).
5. Zhou, M., Liao, Y. & Tu, X. The role of transcription factors in atrial fibrillation. J Thorac Dis 7, 152–158, https://doi.org/10.3978/j.issn.2072-1439.2015.01.21 (2015).
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