Multi-task learning for predicting sars-cov-2 antibody escape

HIGHLIGHTS

• who: COPYRIGHT et al. from the Italian National Research Council, Italy School of Computer Science, Tel Aviv University, Tel Aviv, Israel have published the research work: Multi-task learning for predicting SARS-CoV-2 antibody escape, in the Journal: (JOURNAL)
• what: The authors show that using a multi-task approach to learn escape data endows the authors with a representation that can be useful in multiple prediction scenarios. The authors aim to further use it to find an informative representation of mutations that is more compact than the sequence of amino_acids, while also preserving antibody . . .
  

   

  

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