Table 5

Results of multiple regression analysis on composite variables

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


Each composite variable is the first principal component of expression (CAI, expression level, expression variability), network (betweenness, kin, kout) and function (GO, essentiality) related variables. *P < 0.05, P < 0.01, P < 0.001.

Jovelin and Phillips Genome Biology 2009 10:R35   doi:10.1186/gb-2009-10-4-r35

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