Cargando…
RNA‐seq‐driven expression analysis to investigate cardiovascular disease genes with associated phenotypes among atrial fibrillation patients
Autores principales: | Berber, Asude, Abdelhalim, Habiba, Zeeshan, Saman, Vadapalli, Sreya, von Oehsen, Barr, Yanamala, Naveena, Sengupta, Partho, Ahmed, Zeeshan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9309637/ https://www.ncbi.nlm.nih.gov/pubmed/35875838 http://dx.doi.org/10.1002/ctm2.974 |
Ejemplares similares
-
Genomic approaches to identify and investigate genes associated with atrial fibrillation and heart failure susceptibility
por: Patel, Kush Ketan, et al.
Publicado: (2023) -
RNA-seq driven expression and enrichment analysis to investigate CVD genes with associated phenotypes among high-risk heart failure patients
por: Ahmed, Zeeshan, et al.
Publicado: (2021) -
Multimodal data for systolic and diastolic blood pressure prediction: The hypertension conscious artificial intelligence
por: Hathaway, Quincy A., et al.
Publicado: (2022) -
Artificial Intelligence, Healthcare, Clinical Genomics, and Pharmacogenomics Approaches in Precision Medicine
por: Abdelhalim, Habiba, et al.
Publicado: (2022) -
MACHINE-LEARNING CHARACTERIZATION OF SUBTLE HEMODYNAMIC INSTABILITY DIFFERENTIATES COVID-19 VERSUS SEASONAL INFLUENZA IN HOSPITALIZED PATIENTS
por: Yanamala, Naveena, et al.
Publicado: (2021)