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PepFormer: End-to-End Transformer-Based Siamese Network to Predict and Enhance Peptide Detectability Based on Sequence Only
  • Institution:
    软件学院
  • Title of Paper:
    PepFormer: End-to-End Transformer-Based Siamese Network to Predict and Enhance Peptide Detectability Based on Sequence Only
  • Journal:
    ANALYTICAL CHEMISTRY
  • First Author:
    程豪
  • Document Code:
    58F36D9EDB0542C08F636B40BC9D158D
  • Volume:
    93
  • Issue:
    16
  • Page Number:
    6481
  • Number of Words:
    5000
  • Translation or Not:
    No
  • Date of Publication:
    2021-04
  • Release Time:
    2021-06-02
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