Nature Communications (Sep 2021)

Leveraging the Cell Ontology to classify unseen cell types

  • Sheng Wang,
  • Angela Oliveira Pisco,
  • Aaron McGeever,
  • Maria Brbic,
  • Marinka Zitnik,
  • Spyros Darmanis,
  • Jure Leskovec,
  • Jim Karkanias,
  • Russ B. Altman

DOI
https://doi.org/10.1038/s41467-021-25725-x
Journal volume & issue
Vol. 12, no. 1
pp. 1 – 11

Abstract

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Classifying cells into unseen cell types remains challenging in scRNA-seq analysis. Here we show that Cell Ontology enables an accurate classification of unseen cell types through considering the cell type relationships in the Cell Ontology graph.