Machine learning approaches to tcr repertoire analysis

HIGHLIGHTS

  • who: Yotaro Katayama from the Graduate School of Engineering, The of Tokyo, Tokyo, Japan, National Research Institute of Police have published the Article: Machine Learning Approaches to TCR Repertoire Analysis, in the Journal: (JOURNAL)
  • what: As this review is primarily dedicated to repertoire analysis methods, the authors focus mainly on the potential biases in the conventional sequencing methods, which may skew the results of the ML methods. Most of the models the authors introduced earlier used hand-crafted features or were based on the human knowledge. In this review, the authors focused mainly on the . . .

     

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