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A benchmark of computational pipelines for single-cell histone modification data.

Félix RaimundoPacôme PrompsyJean-Philippe VertCéline Vallot
Published in: Genome biology (2023)
This benchmark provides a comprehensive study on how experimental parameters and computational choices affect the representation of single-cell HPTM data. We propose a series of recommendations regarding matrix construction, feature and cell selection, and dimensionality reduction algorithms.
Keyphrases
  • single cell
  • rna seq
  • machine learning
  • electronic health record
  • high throughput
  • deep learning
  • big data
  • dna methylation
  • stem cells
  • cell therapy
  • clinical practice
  • data analysis
  • bone marrow