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A classification method based on support vector machine (SVM) is proposed specifically for predicting plant pre-miRNAs. The ability of PlantMiRNAPred to discern real and pseudo pre-miRNAs provides a viable method for discovering new non-homologous plant pre-miRNAs.

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  • Ping Xuan <xuanping at hit.edu.cn>


Department of Computer Science and Engineering, Harbin Institute of Technology, Harbin 150001, China

Funding source(s)

Natural Science Foundation of China (60932008 and 60871092); Fundamental Research Funds for the Central Universities (HIT.ICRST.2010 022); Returned Scholar Foundation of Educational Department of Heilongjiang Province (1154hz26); Natural Science Foundation (Grant CCF-0546345 to Y.H.).

  • (Xuan et al., 2011) PlantMiRNAPred: efficient classification of real and pseudo plant pre-miRNAs. Bioinformatics.
    PMID: 21441575
  • Plants
  • (Akhtar et al., 2016) Bioinformatic tools for microRNA dissection. Nucleic acids research.
    PMID: 26578605

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