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Pattern recognition of topologically associating domains using deep learning.

Jhen Yuan YangJia-Ming Chang
Published in: BMC bioinformatics (2022)
TADs have been shown to be conserved during evolution. Interestingly, our results confirm that the TAD recognition model is practical across species, which indicates that TADs between human and mouse show common patterns from an image classification point of view. Our approach could be a new way to identify TAD variations or patterns among Hi-C maps. For example, TADs of two Hi-C maps are conserved if the two classification models are exchangeable.
Keyphrases
  • deep learning
  • artificial intelligence
  • convolutional neural network
  • machine learning
  • transcription factor
  • endothelial cells
  • induced pluripotent stem cells