Study of Sequence Features Based on MicroRNA-Target Sites Pairing
  
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KeyWord:miRNA  target prediction  CLASH  sequence analysis
  
AuthorInstitution
TENG Shao-hua,XIA Fei-di,ZHANG Wei,LIU Dong-ning,WANG Yang,ZOU Xiao-yong 1.广东工业大学计算机学院;2.中山大学化学学院
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Abstract:
      The mechanisms underlying the interaction of miRNAs with their mRNA targets are quite complex,which makes miRNA target prediction be a hot issue in the field of miRNA research.The features of miRNA-target sites pairing sequences were proposed based on the CLASH dataset,and the random forest models were applied for modeling.The average values of Acc,Sen,Spe,Pre and Mcc are 90.05%,89.47%,90.56%,90.43% and 0.799 8,respectively,and the AUC of ROC and PRC are 0.954 and 0.958,respectively.The results indicated that the current method shows a better performance compared with the existed methods, and the features newly constructed have a very significant impact on the identification of miRNA target genes.
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