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Article Open Access

Predicting the target genes of miRNAs in preterm via targetscore algorithm

  • Authors:
    • Kexin Lu
    • Junzhi Huang
    • Yandong Yang
    • Dongli Lu
  • View Affiliations / Copyright

    Affiliations: Department of Obstetrics and Gynecology, Binzhou Medical University Hospital, Binzhou, Shandong 256603, P.R. China, Department of Neurology, Binzhou Medical University Hospital, Binzhou, Shandong 256603, P.R. China
    Copyright: © Lu et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Pages: 2085-2090
    |
    Published online on: January 16, 2019
       https://doi.org/10.3892/etm.2019.7179
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Abstract

Compared with normal neonates, preterm infants have an immature immune system which causes them to have a higher morbidity rate and even death. In order to reduce the mortality of newborns, we need to find the target genes which affect the preterm and understand their mechanism. It has been verified that microRNA (miRNA)‑200 and miRNA‑182 are closely related to the incidence of preterm. Therefore, it is significant to predict the target genes which are regulated by them for further understanding the mechanism of preterm. We chose the targetscore method for calculating the variational Bayesian‑Gaussian mixture model (VB‑GMM) as the target genes prediction method. It is designed for condition‑specific target predictions and not limited to predict conserved genes, so the results are more accurate than previous sequence‑based target prediction algorithms. In this study, our major contribution is to predict the target mRNAs of the chosen miRNAs with the gene expression profiles and a new method, which can effectively improve the accuracy of the prediction.
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Copy and paste a formatted citation
Spandidos Publications style
Lu K, Huang J, Yang Y and Lu D: Predicting the target genes of miRNAs in preterm via targetscore algorithm. Exp Ther Med 17: 2085-2090, 2019.
APA
Lu, K., Huang, J., Yang, Y., & Lu, D. (2019). Predicting the target genes of miRNAs in preterm via targetscore algorithm. Experimental and Therapeutic Medicine, 17, 2085-2090. https://doi.org/10.3892/etm.2019.7179
MLA
Lu, K., Huang, J., Yang, Y., Lu, D."Predicting the target genes of miRNAs in preterm via targetscore algorithm". Experimental and Therapeutic Medicine 17.3 (2019): 2085-2090.
Chicago
Lu, K., Huang, J., Yang, Y., Lu, D."Predicting the target genes of miRNAs in preterm via targetscore algorithm". Experimental and Therapeutic Medicine 17, no. 3 (2019): 2085-2090. https://doi.org/10.3892/etm.2019.7179
Copy and paste a formatted citation
x
Spandidos Publications style
Lu K, Huang J, Yang Y and Lu D: Predicting the target genes of miRNAs in preterm via targetscore algorithm. Exp Ther Med 17: 2085-2090, 2019.
APA
Lu, K., Huang, J., Yang, Y., & Lu, D. (2019). Predicting the target genes of miRNAs in preterm via targetscore algorithm. Experimental and Therapeutic Medicine, 17, 2085-2090. https://doi.org/10.3892/etm.2019.7179
MLA
Lu, K., Huang, J., Yang, Y., Lu, D."Predicting the target genes of miRNAs in preterm via targetscore algorithm". Experimental and Therapeutic Medicine 17.3 (2019): 2085-2090.
Chicago
Lu, K., Huang, J., Yang, Y., Lu, D."Predicting the target genes of miRNAs in preterm via targetscore algorithm". Experimental and Therapeutic Medicine 17, no. 3 (2019): 2085-2090. https://doi.org/10.3892/etm.2019.7179
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