Machine learning analyses of antibody somatic mutations predict immunoglobulin light chain toxicity

HIGHLIGHTS

• who: Maura Garofalo from the Institute Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, ItalyUniversity of have published the paper: Machine learning analyses of antibody somatic mutations predict immunoglobulin light chain toxicity, in the Journal: NATURE COMMUNICATIONS NATURE COMMUNICATIONS
• what: The authors assess LICTOR's performance with an independent set of LCs with a known clinical phenotype but not used in the training.
• how: The authors used random forest in the implementation of LICTOR. To achieve this the authors exploited the C. elegans model and tested a total of recombinantly expressed three germline . . .
  

   

  

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