Learning meaningful representations of protein sequences

HIGHLIGHTS

• who: Nicki Skafte Detlefsen from the Section for Cognitive Systems, Technical University have published the research: Learning meaningful representations of protein sequences, in the Journal: NATURE COMMUNICATIONS NATURE COMMUNICATIONS
• what: This elementary question is the focus of this paper. The authors investigate the impact of network design and training protocol on the resulting representation, and find that several current practices are suboptimal. The authors investigate the use of representations for the purpose of data interpretation. The authors show that explicit modeling of the representation geometry allows the authors to extract robust and identifiable biological conclusions . . .
  

   

  

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