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DISCERN: deep single-cell expression reconstruction for improved cell clustering and cell subtype and state detection.

Fabian HausmannCan ErgenRobin KhatriMohamed MaroufSonja HänzelmannNicola GaglianiSamuel HuberPierre MachartStefan Bonn
Published in: Genome biology (2023)
Thus, DISCERN is a flexible tool for reconstructing missing single-cell gene expression using a reference dataset and can easily be applied to a variety of data sets yielding novel insights, e.g., into disease mechanisms.
Keyphrases
  • single cell
  • rna seq
  • gene expression
  • high throughput
  • dna methylation
  • electronic health record
  • machine learning
  • mesenchymal stem cells
  • deep learning
  • artificial intelligence
  • real time pcr