ArticleExperimental and therapeutic medicine2019
Screening of miRNA target genes in coronary artery disease by variational Bayesian Gaussian mixture model.
Article in Experimental and therapeutic medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Heart failure with preserved ejection fraction phenogroup classification using machine learning.ESC heart failure · 2023Article
- MiRNAs and circRNAs for the Diagnosis of Anthracycline-Induced Cardiotoxicity in Breast Cancer Patients: A Narrative Review.Journal of personalized medicine · 2022Review
- Identification of key gene modules and pathways of human platelet transcriptome in acute myocardial infarction patients through co-expression network.American journal of translational research · 2021Article
- The Role of MicroRNAs in Regulating Cytokines and Growth Factors in Coronary Artery Disease: The Ins and Outs.Journal of immunology research · 2020Review
- Bayesian multilevel model of micro RNA levels in ovarian-cancer and healthy subjects.PloS one · 2019Article
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Authors and funding
3 authors.
Funding
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Abstract
Coronary artery disease (CAD) is a leading cause of death, and microRNAs (miRNAs) are widely involved in physiological and pathological processes of CAD. We chose the targetscore method calculated via the variational Bayesian Gaussian mixture model (VB-GMM) as the prediction method of target genes. By observing the density overlap, we selected the thresholds of miRNA-1 and miRNA-155. In total, 18 target genes of miRNA-1, and 19 target genes of miRNA-155 were identified. The threshold of miRNA-146a was selected using the |logFC| value, and 16 target genes were screened out. In this study, our major contribution was to predict the target messenger RNAs (mRNAs) of the chosen miRNAs with the gene expression profiles, which can effectively reduce the workload of screening. Although the validated genes constituted only a small part in the final prediction results, it is a good sign for research in the future. It means that we could provide new research aims for future studies focusing on miRNA regulatory mechanisms.
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