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Single-cell specific and interpretable machine learning models for sparse scChIP-seq data imputation.

Steffen AlbrechtTommaso AndreaniMiguel A Andrade-NavarroJean Fred Fontaine
Published in: PloS one (2022)
Our interpretable imputation algorithm was implemented in Python and is available at https://github.com/salbrec/SIMPA.
Keyphrases
  • machine learning
  • single cell
  • rna seq
  • big data
  • artificial intelligence
  • high throughput
  • deep learning
  • electronic health record
  • neural network
  • genome wide
  • dna methylation