RNA‐seq‐driven expression analysis to investigate cardiovascular disease genes with associated phenotypes among atrial fibrillation patients-Reference-Cited by-同舟云学术

RNA‐seq‐driven expression analysis to investigate cardiovascular disease genes with associated phenotypes among atrial fibrillation patients

Published:2022-07 Issue:7 Volume:12 Page:
ISSN:2001-1326
Container-title:Clinical and Translational Medicine
language:en
Short-container-title:Clinical & Translational Med

Author:

Berber Asude¹,Abdelhalim Habiba¹,Zeeshan Saman²,Vadapalli Sreya¹,von Oehsen Barr³,Yanamala Naveena⁴,Sengupta Partho⁴,Ahmed Zeeshan¹⁵^ORCID

Affiliation:

1. Rutgers Institute for Health Health Care Policy and Aging Research Rutgers University New Brunswick New Jersey USA

2. Rutgers Cancer Institute of New Jersey Rutgers University New Brunswick New Jersey USA

3. Office of Advanced Research Computing, Rutgers The State University of New Jersey Computing Research and Education (CoRE) Building Piscataway New Jersey USA

4. Division of Cardiovascular Disease Robert Wood Johnson Medical School Rutgers Biomedical and Health Sciences New Brunswick New Jersey USA

5. Department of Medicine Robert Wood Johnson Medical School Rutgers Biomedical and Health Sciences New Brunswick New Jersey USA

Publisher

Wiley

Subject

Molecular Medicine,Medicine (miscellaneous)

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ctm2.974

Reference10 articles.

1. Atrial Fibrillation

2. Human gene and disease associations for clinical‐genomics and precision medicine research

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1. Functional mutation, splice, distribution, and divergence analysis of impactful genes associated with heart failure and other cardiovascular diseases;Scientific Reports;2023-10-05

2. Genomic approaches to identify and investigate genes associated with atrial fibrillation and heart failure susceptibility;Human Genomics;2023-06-03

3. Investigating genes associated with heart failure, atrial fibrillation, and other cardiovascular diseases, and predicting disease using machine learning techniques for translational research and precision medicine;Genomics;2023-03