Hybrid gmlp model for interaction prediction of mhc-peptide and tcr

HIGHLIGHTS

• who: Methods et al. from the Tianjin University, China have published the research: Hybrid gMLP model for interaction prediction of MHC-peptide and TCR, in the Journal: (JOURNAL) of 29/01/2020
• what: The experiments prove that the model has more advantages than relatively simple traditional deep learning models such as Convolutional Neural_Network (CNN), Long Short Term Memory (LSTM), etc. The framework of the model is illustrated in Figure 1. gMLP Transformers have made many breakthroughs in natural language processing and have been shown to work well in computer vision. The authors compare them on . . .
  

   

  

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