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. Author manuscript; available in PMC: 2023 Jul 19.
Published in final edited form as: Nat Rev Genet. 2022 Jan 31;23(6):355–368. doi: 10.1038/s41576-021-00444-7

Figure 2. Selecting time points to sample in single-cell RNA-seq experiments.

Figure 2.

a ∣ Oversampling of bulk RNA sequencing (RNA-seq) data. The bulk data are then used to determine the expected error for each potential subset of time points used. A heuristic search is then performed to select the optimal set of time points given cost or error constraints. b ∣ Selected time points are then used to profile single-cell RNA sequencing (scRNA-seq) data. Errors computed in (a) for this subset of time points can be used to bound the expected difference between reconstructed and underlying expression levels. CV, coefficient of variation; D, days; SFTPC, pulmonary surfactant-associated protein C (a marker of AT2 alveolar stem cells).