Pseudotime estimation: deconfounding single cell time series

HIGHLIGHTS

  • who: Bioinformatics and colleagues from the MRC Biostatistics Unit, Cambridge , SR, UK have published the Article: Pseudotime estimation: deconfounding single cell time series, in the Journal: (JOURNAL)
  • what: The authors demonstrate the method 's utility on public microarray nCounter and RNA-seq datasets from three organisms. This study analyses the problem of variation in the temporal dimension: cells do not necessarily transition at a common rate between states. The authors propose to impose an a priori structure on the latent space. In the model presented in this article, the latent space is onedimensional and the . . .

     

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