Bot-net: a lightweight bag of tricks-based neural network for efficient lncrna-mirna interaction prediction

HIGHLIGHTS

• who: Muhammad Nabeel Asim from the Department of Computer Science, Technical University of Kaiserslautern, Kaiserslautern, Rhinelandu2011Palatinate, Germany have published the Article: BoT-Net: a lightweight bag of tricks-based neural network for efficient LncRNA-miRNA interaction prediction, in the Journal: (JOURNAL)
• what: The main focus of existing sequence informationbased computational predictors has been to effectively encode the relationships that exist between the residues of lncRNA and miRNA sequences. Instead of feeding entire lncRNA sequences to a deep learning model , here the authors investigate which region of lncRNA sequences (e.g starting region, ending region, starting . . .
  

   

  

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