Prediction of plant-derived xenomiRs from plant miRNA sequences using random forest and one-dimensional convolutional neural network models.

Journal: BMC genomics
PMID: 30477446

Abstract

BACKGROUND: An increasing number of studies reported that exogenous miRNAs (xenomiRs) can be detected in animal bodies, however, some others reported negative results. Some attributed this divergence to the selective absorption of plant-derived xenomiRs by animals.

Authors

  • Qi Zhao
  • Qian Mao
    Light Industry College, Liaoning University, Shenyang, 110036, Liaoning, China.
  • Zheng Zhao
    College of Bioinformatics Science and Technology and Bio-Pharmaceutical Key Laboratory of Heilongjiang Province, Harbin Medical University, Nangang, Harbin, Heilongjiang, China.
  • Tongyi Dou
    School of Life Science and Medicine, Dalian University of Technology, Panjin, 124221, China.
  • Zhiguo Wang
    Sino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang, 110169, Liaoning, China.
  • Xiaoyu Cui
    Sino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang, 110169, Liaoning, China.
  • Yuanning Liu
    Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, China.
  • Xiaoya Fan
    Bio-, Electro- And Mechanical Systems, Université Libre de Bruxelles, Avenue F.D. Roosevelt 50 CP165/56, 1050, Brussels, Belgium. xiaoya.fan@ulb.ac.be.

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