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Table 1 Error rates and power of scRATE classification

From: Bayesian model selection reveals biological origins of zero inflation in single-cell transcriptomics

Sequencing depth Threshold
  0 SE 1 SE 2 SE
(a)
10k 0.2349±0.0695 0.0325±0.0174 0.0014±0.0016
50k 0.1837±0.0557 0.0206±0.0159 0.0009±0.0016
(b)
10k 0.8116±0.0365 0.6152±0.0312 0.4641±0.0160
50k 0.8955±0.0158 0.7934±0.0176 0.7062±0.0165
  1. Estimated false positive (FP, type I error) and true positive (TP, power) classification rates estimated from simulated data at average depth of 10,000 or 50,000 UMIs per cell. See Simulation II in the “Methods” section for details