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Table 2 Logistic regression analysis for RNAPII CTD phosphorylation Whole model test

From: The classification of mRNA expression levels by the phosphorylation state of RNAPII CTD based on a combined genome-wide approach

Model

Log likelihood

DF

Chi-square

Prob > ChiSq

Difference

1132.762

2

2265.525

< 0.0001

Full

12914.338

    

Reduced

14047.1

    

Rsquare (U)

0.0806

    

Observations (or sum weights)

13462

    

Parameter estimates

      

Term

Estimate

Std Error

Chi-square

Prob > ChiSq

Lower

CI (95%)

Upper CI

(95%)

Intercept [S2P- S5P-]

0.6877

0.0445

238.89

< 0.0001

0.6005

0.7749

log2(FPKM+1) [S2P- S5P-]

-0.4149

0.0158

691.98

< 0.0001

-0.4458

-0.384

Intercept [S2P+ S5P+]

-0.2791

0.0412

45.89

< 0.0001

-0.3599

-0.1984

log2(FPKM+1) [S2P+ S5P+]

0.2127

0.0105

410.32

< 0.0001

0.1921

0.2333

  1. For log odds of [S2P-S5P-]/[S2P-S5P+], [S2P+S5P+]/[S2P-S5P+]