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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.