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A benchmark of computational methods for correcting biases of established and unknown origin in CRISPR-Cas9 screening data.

Alessandro VincetiRaffaele M IannuzziIsabella BoyleLucia TrastullaCatarina D CampbellFrancisca VazquezJoshua M DempsterFrancesco Iorio
Published in: Genome biology (2024)
Overall, our investigation provides guidance for the selection of the most appropriate bias-correction method, based on its strengths, weaknesses and experimental settings.
Keyphrases
  • crispr cas
  • genome editing
  • electronic health record
  • big data
  • machine learning
  • artificial intelligence
  • deep learning