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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