Nature Communications (Nov 2022)

Tempo: an unsupervised Bayesian algorithm for circadian phase inference in single-cell transcriptomics

  • Benjamin J. Auerbach,
  • Garret A. FitzGerald,
  • Mingyao Li

DOI
https://doi.org/10.1038/s41467-022-34185-w
Journal volume & issue
Vol. 13, no. 1
pp. 1 – 14

Abstract

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Previous efforts to study the circadian clock using scRNA-seq have relied on time course designs that treat cell collection time as a proxy for circadian time. Here, the authors introduce a statistical method to infer circadian timing directly from expression, enabling researchers to study circadian phase heterogeneity.