TABLE 2.
Comparative analysis of the influences of transcriptional activity and variability on essentiality in yeast and mouse
| Species | Ra | Rv | Ra|v | Rv|a | Ca | Cv | PCa | PCv |
|---|---|---|---|---|---|---|---|---|
| Fitness effect | ||||||||
| Yeast | 0.152 | −0.280 | 0.057 | −0.244 | −0.698 | −15.966*** | 21.45 | 78.55 |
| Lethality | ||||||||
| Mouse | 0.103 | −0.153 | 0.015 | −0.115 | 0.621 | −6.972*** | 36.88 | 63.12 |
| Protein–protein interaction | ||||||||
| Yeast | 0.123 | −0.215 | 0.049 | −0.184 | −0.132 | −10.786*** | 18.30 | 81.70 |
Transcriptional activity (a) and variability (v) are the predictor variables. Fitness effect, lethality, and protein–protein interaction are the response variables. Ra and Rv denote Spearman's rank correlation. Ra|v means Ra controlling for v and Rv|a means Rv controlling for a. Ca and Cv are the t-values of regression coefficients from multivariate regression analysis. The significance of the t-values is represented in Tables 2–5 as ***P < 10−9, **P < 10−6, and *P < 10−3. PCa and PCv mean the percentage of contribution of the predictors to the first principal component estimated from PCA-based regression. The statistics are underlined when they are significantly greater for one predictor than for the other. Italics are used where the statistics are positive (or negative) when negative (or positive) values are expected.