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Table 4 Superpc discrete prediction results

From: A network module-based method for identifying cancer prognostic signatures

Data set

Prediction results

TCGA

 

   HR

1.33E+00

   95% HR CI

1.04 - 1.69

   P-value

2.21E-02

GSE9891

 

   HR

2.43E+00

   95% HR CI

1.06 - 5.55

   P-value

3.61E-02

GSE13876

 

   HR

2.13E+00

   95% HR CI

1.46 - 3.10

   P-value

8.85E-05

GSE26712

 

   HR

1.56E+00

   95% HR CI

1.08 - 2.25

   P-value

1.75E-02

  1. The TCGA data set was used as the training data set, and the second principal component was used as the feature for prediction. The first column shows the data sets. CI, confidence interval; HR, hazard ratio.