首页 | 本学科首页   官方微博 | 高级检索  
     


Splice-site identification for exon prediction using bidirectional LSTM-RNN approach
Authors:Noopur Singh  Ravindra Nath  Dev Bukhsh Singh
Affiliation:2. Department of Computer Science, University Institute Engineering and Technology, Chhatrapati Sahu Ji Maharaj University, Kanpur, 208024, India;3. Department of Biotechnology, Institute of Biosciences and Biotechnology, Chhatrapati Sahu Ji Maharaj University, Kanpur, 208024, India
Abstract:
Keywords:Splice-site  Intron  Exon  Machine learning  Deep learning  Bidirectional LSTM-RNN  DNA"  },{"  #name"  :"  keyword"  ,"  $"  :{"  id"  :"  pc_36AVtuhEO5"  },"  $$"  :[{"  #name"  :"  text"  ,"  _"  :"  Deoxyribonucleic Acid  RNA"  },{"  #name"  :"  keyword"  ,"  $"  :{"  id"  :"  pc_XFaZBpMCYL"  },"  $$"  :[{"  #name"  :"  text"  ,"  _"  :"  Ribonucleic Acid  CDS"  },{"  #name"  :"  keyword"  ,"  $"  :{"  id"  :"  pc_4ylCzfrcyT"  },"  $$"  :[{"  #name"  :"  text"  ,"  _"  :"  Coding Sequence  LSTM-RNN"  },{"  #name"  :"  keyword"  ,"  $"  :{"  id"  :"  pc_znBjT7FBhB"  },"  $$"  :[{"  #name"  :"  text"  ,"  _"  :"  Long Short-Term Memory Recurrent Neural Network  ANN"  },{"  #name"  :"  keyword"  ,"  $"  :{"  id"  :"  pc_eYoVIKbxm2"  },"  $$"  :[{"  #name"  :"  text"  ,"  _"  :"  Artificial Neural Network
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号