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Tumor classification and biomarker discovery based on the 5'isomiR expression level.

Shengqin WangZhihong ZhengPeichao ChenMingjiang Wu
Published in: BMC cancer (2019)
The findings of the present study indicated that the 5'isomiRs might be employed for multiclass tumor classification and the suggested that GA/RF model could perform effective tumor classification by a series of largely independent optimal predictor 5' isomiR sets.
Keyphrases
  • machine learning
  • deep learning
  • poor prognosis
  • small molecule
  • pet ct
  • high throughput
  • binding protein
  • long non coding rna