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Table 5 Results of multiple regression analysis on composite variables

From: Evolutionary rates and centrality in the yeast gene regulatory network

  PC1-network PC1-expression PC1-function
  YTN1 YTN2 YTN1 YTN2 YTN1 YTN2
Percent of variance explained by PC1 69 65 48 50 54 60
dN 0.095* 0.099 -0.112* -0.007 -0.196 -0.246
dS -0.016 -0.031 -0.170 -0.032 0.065 0.098
dS' -0.016 -0.032 -0.094 -0.058 0.068 0.099
dN/dS 0.098* 0.112 -0.014 -0.001 -0.249 -0.295
dN/dS' 0.107 0.113 -0.083 0.008 -0.245 -0.298
Residuals dN-dS 0.106* 0.113 -0.061 0.003 -0.229 -0.289
  1. Each composite variable is the first principal component of expression (CAI, expression level, expression variability), network (betweenness, k in , k out ) and function (GO, essentiality) related variables. *P < 0.05, P < 0.01, P < 0.001.