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Current sequence-based models capture gene expression determinants in promoters but mostly ignore distal enhancers.

Alexander KarollusThomas MauermeierJulien Gagneur
Published in: Genome biology (2023)
Our results suggest that sequence-based models have advanced to the point that in silico study of promoter regions and promoter variants can provide meaningful insights and we provide practical guidance on how to use them. Moreover, we foresee that it will require significantly more and particularly new kinds of data to train models accurately accounting for distal elements.
Keyphrases
  • gene expression
  • dna methylation
  • transcription factor
  • minimally invasive
  • amino acid
  • big data
  • mass spectrometry
  • data analysis
  • deep learning