Deep learning of a bacterial and archaeal universal language of life enables transfer learning and illuminates microbial dark matter

HIGHLIGHTS

• who: A. Hoarfrost from the Rutgers University Aires, Buenos Aires, Argentina Present address: NASA Ames Research Center, Moffett Field, CA, USA. have published the article: Deep learning of a bacterial and archaeal universal language of life enables transfer learning and illuminates microbial dark matter, in the Journal: NATURE COMMUNICATIONS NATURE COMMUNICATIONS
• what: The transfer learning examples shown here, aside from providing useful models in and of themselves, are intended to show the broad types of questions that can be addressed with transfer learning from a single pretrained model. The authors demonstrate the functional and evolutionary . . .
  

   

  

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