Explainable artificial intelligence as a reliable annotator of archaeal promoter regions

HIGHLIGHTS

• who: Gustavo Sganzerla Martinez from the Universidade have published the research work: Explainable artificial intelligence as a reliable annotator of archaeal promoter regions, in the Journal: Scientific Reports Scientific Reports
• what: In Fig 3A, the authors show how XAI can improve the promoter prediction. The authors show that the most discriminatory nucleotide sites that have TF proteins binding are: (i) - 24, - 25, - 26, - 27, - 28, and - 29; (ii) - 32 and - 33; (iii) - 10 and - 11; (iv) + 3. The authors report the posi- Accuracy=84.67% Precision=84.55% Recall=84.37% Specificity=85.68% A . . .
  

   

  

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