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Polled Digital Cell Sorter (p-DCS): Automatic identification of hematological cell types from single cell RNA-sequencing clusters.

Sergii DomanskyiAnthony SzedlakNathaniel T HawkinsJiayin WangGiovanni PaternostroCarlo Piermarocchi
Published in: BMC bioinformatics (2019)
This methodology assures that extensive marker to cell type matching information is taken into account in a systematic way when assigning cell clusters to cell types. Moreover, the method allows for a high throughput processing of multiple scRNA-seq datasets, since it does not involve an expert curator, and it can be applied recursively to obtain cell sub-types. The software is designed to allow the user to substitute the marker to cell type matching information and apply the methodology to different cellular environments.
Keyphrases
  • single cell
  • rna seq
  • high throughput
  • cell therapy
  • gene expression
  • stem cells
  • neural network