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De-MISTED: Image-based classification of erroneous multiple sequence alignments using convolutional neural networks.

Hiba KhodjiPierre ColletJulie Dawn ThompsonAnne Jeannin-Girardon
Published in: Appl. Intell. (2023)
Keyphrases
  • convolutional neural networks
  • feature selection
  • machine learning
  • multiple sequence alignments
  • genetic algorithm
  • feature extraction
  • high dimensional
  • supervised learning
  • multiple sequence alignment