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Table 2 P-value of the dependence test for different clinical features and breast cancer subtypes

From: A network-assisted co-clustering algorithm to discover cancer subtypes based on gene expression

Method

Survival

Neoplasm disease lymph node stage

Neoplasm disease stage

Tumor stage

Tumor nuclei percentage

NCIS (α = 0.85)

0.0444

2.03 × 10-3

1.68 × 10-3

2.33 × 10-3

6.17 × 10-3

NCIS (α = 0)

0.0442

6.22 × 10-3

3.84 × 10-3

2.67 × 10-3

6.24 × 10-3

Consensus (k = 3)

0.497

0.123

0.266

0.175

5.90 × 10-3

Consensus (k = 5)

0.359

3.29 × 10-3

2.08 × 10-4

0.187

8.35 × 10-3

TCGA/BRCA paper

0.831

0.396

0.337

0.999

0.0780

  1. For survival time, we used logrank test; for AJCC neoplasm disease lymph node stage, AJCC neoplasm disease stage, and AJCC tumor stage, we used Chi-squared test; for tumor nuclei percentage, we used ANOVA. Note that we did not use the normal-like subtype in this comparison.
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BMC Bioinformatics

ISSN: 1471-2105

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