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Table 4 Principal component regression analysis: principal components PC5 to PC8

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

  PC5 PC6 PC7 PC8
  YTN1 YTN2 YTN1 YTN2 YTN1 YTN2 YTN1 YTN2
Percent variance explained by each PC 10 9 7 8 7 8 2 2
Effect of PCs on response variables         
   dN -0.067 -0.170 -0.127 0.109 -0.144 -0.188 -0.088 -0.213
   dS 0.055 0.078 -0.043 0.034 -0.131 -0.249 0.011 0.074
   dS' 0.081 0.050 0.022 0.046 -0.195* -0.251* -0.014 -0.073
   dN/dS -0.045 -0.209* -0.052 0.098 -0.167* -0.106 -0.103 -0.147
   dN/dS' -0.081 -0.201* -0.117 0.093 -0.114 -0.102 -0.083 -0.143
   Residuals dN-dS -0.089 -0.203* -0.119 0.103 -0.108 -0.118 -0.089 -0.200
Contribution of predictor variables to each PC         
   CAI 0.194 0.624 0.501 -0.279 -0.485 0.027 -0.022 -0.025
   Expression level -0.255 -0.366 0.025 0.178 0.539 0.603 0.001 -0.032
   Expression variability 0.400 0.447 0.377 0.098 0.518 0.630 -0.010 -0.020
   k in 0.101 -0.060 -0.505 0.328 -0.139 -0.296 0.549 0.567
   k out -0.353 -0.090 0.584 -0.691 -0.062 0.177 0.370 0.354
   Centrality -0.026 -0.086 -0.102 -0.023 -0.083 -0.170 -0.741 -0.738
   Essentiality -0.192 -0.125 -0.022 0.367 0.402 0.277 -0.049 -0.063
   GO 0.752 0.492 0.012 0.400 0.121 -0.119 0.098 0.047
  1. No single variable dominates the rate of protein evolution. *P < 0.05. PC, principal component.