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Evaluating Multiple Sequence Alignments Using a LS-SVM Approach with a Heterogeneous Set of Biological Features.

Francisco M. Ortuño GuzmanOlga ValenzuelaHéctor PomaresIgnacio Rojas
Published in: IWANN (2) (2013)
Keyphrases
  • ls svm
  • feature set
  • feature vectors
  • least squares
  • least squares support vector machine
  • neural network
  • feature space
  • artificial neural networks
  • protein sequences
  • network topology
  • multiple sequence alignments