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

Qi ZhaoQian MaoZheng ZhaoTongyi DouZhiguo WangXiaoyu CuiYuanning LiuXiaoya Fan
Published in: BMC genomics (2018)
Our study, for the first time, presents the systematic plant-derived xenomiR sequences analysis and provides evidence for selective absorption of plant miRNA by human body, which could facilitate the future investigation about the mechanisms underlying the transference of plant-derived xenomiR.
Keyphrases
  • convolutional neural network
  • endothelial cells
  • cell wall
  • deep learning
  • climate change
  • machine learning
  • neural network