An explainable artificial intelligence approach for decoding the enhancer histone modifications code and identification of novel enhancers in Drosophila.

Journal: Genome biology
PMID: 34749786

Abstract

BACKGROUND: Enhancers are non-coding regions of the genome that control the activity of target genes. Recent efforts to identify active enhancers experimentally and in silico have proven effective. While these tools can predict the locations of enhancers with a high degree of accuracy, the mechanisms underpinning the activity of enhancers are often unclear.

Authors

  • Jareth C Wolfe
    School of Life Sciences, University of Essex, Colchester, CO4 3SQ, UK.
  • Liudmila A Mikheeva
    School of Life Sciences, University of Essex, Colchester, CO4 3SQ, UK.
  • Hani Hagras
    Centre for Computational Intelligence, University of Essex, Colchester, UK.
  • Nicolae Radu Zabet
    School of Life Sciences, University of Essex, Colchester, CO4 3SQ, UK. r.zabet@qmul.ac.uk.

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