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Learning vector quantization as an interpretable classifier for the detection of SARS-CoV-2 types based on their RNA sequences.

Marika KadenKatrin Sophie BohnsackMirko WeberMateusz KudlaKaja GutowskaJacek BlazewiczThomas Villmann
Published in: Neural Comput. Appl. (2022)
Keyphrases
  • learning vector quantization
  • neural network
  • rna sequences
  • self organizing maps
  • secondary structure
  • rna secondary structure prediction
  • computer vision
  • machine learning
  • protein sequences