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Table 3 Estimation of model parameters \( \hat{\alpha}\ and\ \hat{\beta} \) under number of cells with fixed α, β, prct, s, and gene number = 15,000

From: Detection of high variability in gene expression from single-cell RNA-seq profiling

Simulation parameters Regression results
Prct (%) s α β # of cells \( \hat{\alpha} \) \( \hat{\beta} \) RMSE RMSE (Eq. 9)
10 2 0.15 1.2 50 0.1595 ± 0.0024 1.1078 ± 0.0040 0.0127 ± 0.0007 0.037 ± 0.007
100 0.1587 ± 0.0023 1.1416 ± 0.0044 0.0085 ± 0.0009 0.034 ± 0.006
500 0.1575 ± 0.0009 1.1836 ± 0.0036 0.0047 ± 0.0008 0.032 ± 0.008