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A network clustering based feature selection strategy for classifying autism spectrum disorder.

Lingkai TangSakib MostafaBo LiaoFang-Xiang Wu
Published in: BMC medical genomics (2019)
It is a good strategy to train the classifiers for ASD based on features from the default mode subnetwork.
Keyphrases
  • autism spectrum disorder
  • attention deficit hyperactivity disorder
  • intellectual disability
  • machine learning
  • functional connectivity
  • deep learning
  • single cell
  • high speed
  • mass spectrometry
  • high resolution