Nature Communications (Jun 2018)

Uncovering pseudotemporal trajectories with covariates from single cell and bulk expression data

  • Kieran R Campbell,
  • Christopher Yau

DOI
https://doi.org/10.1038/s41467-018-04696-6
Journal volume & issue
Vol. 9, no. 1
pp. 1 – 12

Abstract

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Cross-sectional omic data often have non-homogeneous genetic, phenotypic, or environmental backgrounds. Here, the authors develop a statistical framework to infer pseudotime trajectories in the presence of such factors as well as their interactions in both single-cell and bulk gene expression analysis