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Table 2 Estimates of model parameters λ and I

From: Inferring steady state single-cell gene expression distributions from analysis of mesoscopic samples

Gene Correlation λ estimate I (intercept estimate)
ACTB 0.9818035 6.802453 × 109 -1.208535 × 109
GAPDH 0.6946698 2.122443 × 108 -4.484740 × 107
DDR1 0.9838246 1.370801 × 106 -2.441642 × 105
PIK3 0.9148329 8.885468 × 103 -1.719060 × 103
PNN 0.9160348 4.000586 × 107 -7.723061 × 106
ZCCHC7 0.9827101 3.656176 × 106 -6.591370 × 105
POLH 0.1149602 -2.590916 × 1010 -2.015157 × 109
ATP5L 0.6793007 1.464513 × 109 -2.127757 × 108
GNAS 0.8224466 2.762874 × 107 -5.596301 × 106
  1. λ and I were estimated by regressing biological variability on λ log 10 N + I MathType@MTEF@5@5@+=feaafiart1ev1aaatCvAUfeBSjuyZL2yd9gzLbvyNv2Caerbhv2BYDwAHbqedmvETj2BSbqee0evGueE0jxyaibaiKI8=vI8tuQ8FMI8Gi=hEeeu0xXdbba9frFj0=OqFfea0dXdd9vqai=hGuQ8kuc9pgc9s8qqaq=dirpe0xb9q8qiLsFr0=vr0=vr0dc8meaabaqaciGacaGaaeqabaqadeqadaaakeaadaWcaaqaaiabeU7aSbqaaiGacYgacaGGVbGaai4zamaaBaaaleaacaaIXaGaaGimaaqabaGccaWGobaaaiabgUcaRiaadMeaaaa@3BEF@ . We also computed the Pearson correlation coefficients to measure the correlation between the biological variability estimates from our analytical model and the biological variability observed in the validation experiment.