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Screening of miRNA target genes in coronary artery disease by variational Bayesian Gaussian mixture model

  • Authors:
    • Xiao‑Lin Ma
    • Xu Yang
    • Rui Fan
  • View Affiliations / Copyright

    Affiliations: Department of Cardiology, The People's Hospital of Xuancheng City, Xuancheng, Anhui 242000, P.R. China, Department of Cardiovascular Disease, The Second People's Hospital of Yunnan Province, Kunming, Yunnan 650021, P.R. China , Department of Cardiology, Xinjiang Changjizhou People's Hospital, Changjizhou, Xinjiang Uygur Autonomous Region 831100, P.R. China
    Copyright: © Ma et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Pages: 2129-2136
    |
    Published online on: January 22, 2019
       https://doi.org/10.3892/etm.2019.7195
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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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Copy and paste a formatted citation
Spandidos Publications style
Ma XL, Yang X and Fan R: Screening of miRNA target genes in coronary artery disease by variational Bayesian Gaussian mixture model . Exp Ther Med 17: 2129-2136, 2019.
APA
Ma, X., Yang, X., & Fan, R. (2019). Screening of miRNA target genes in coronary artery disease by variational Bayesian Gaussian mixture model . Experimental and Therapeutic Medicine, 17, 2129-2136. https://doi.org/10.3892/etm.2019.7195
MLA
Ma, X., Yang, X., Fan, R."Screening of miRNA target genes in coronary artery disease by variational Bayesian Gaussian mixture model ". Experimental and Therapeutic Medicine 17.3 (2019): 2129-2136.
Chicago
Ma, X., Yang, X., Fan, R."Screening of miRNA target genes in coronary artery disease by variational Bayesian Gaussian mixture model ". Experimental and Therapeutic Medicine 17, no. 3 (2019): 2129-2136. https://doi.org/10.3892/etm.2019.7195
Copy and paste a formatted citation
x
Spandidos Publications style
Ma XL, Yang X and Fan R: Screening of miRNA target genes in coronary artery disease by variational Bayesian Gaussian mixture model . Exp Ther Med 17: 2129-2136, 2019.
APA
Ma, X., Yang, X., & Fan, R. (2019). Screening of miRNA target genes in coronary artery disease by variational Bayesian Gaussian mixture model . Experimental and Therapeutic Medicine, 17, 2129-2136. https://doi.org/10.3892/etm.2019.7195
MLA
Ma, X., Yang, X., Fan, R."Screening of miRNA target genes in coronary artery disease by variational Bayesian Gaussian mixture model ". Experimental and Therapeutic Medicine 17.3 (2019): 2129-2136.
Chicago
Ma, X., Yang, X., Fan, R."Screening of miRNA target genes in coronary artery disease by variational Bayesian Gaussian mixture model ". Experimental and Therapeutic Medicine 17, no. 3 (2019): 2129-2136. https://doi.org/10.3892/etm.2019.7195
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