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Deep learning for de-convolution of Smad2 versus Smad3 binding sites.

Jeremy W K NgEsther H Q OngLisa Tucker-KelloggGreg Tucker-Kellogg
Published in: BMC genomics (2022)
Our results suggests that deep learning approaches can be used to dissect binding site specificity of closely related transcription factors.
Keyphrases
  • deep learning
  • transforming growth factor
  • epithelial mesenchymal transition
  • transcription factor
  • artificial intelligence
  • convolutional neural network
  • machine learning
  • signaling pathway
  • dna binding