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Table 1 The measurement of important genes in differential expression analysis and differential network

From: Gene regulatory networks analysis of muscle-invasive bladder cancer subtypes using differential graphical model

Genes

Subtypes

log2FoldChange

p-adjust

Degree

NOTUM

PN

-7.50

2.01E-69

3

 

IN

-6.15

6.28E-42

7

 

LN

-6.54

2.35E-33

13

 

NB

7.00

2.22E-60

1

SERPINI1

PN

-3.79

7.82E-45

3

 

IN

-3.70

1.61E-38

5

 

LN

-3.57

1.50E-25

34

 

NB

3.76

1.45E-44

1

FGFR1

PN

-4.26

2.48E-43

8

  1. Note: P, I, L, B and N denote Luminal-papillary, Luminal-infiltrated, Luminal, Basal-Squamous, and Neuronal subtype separately, and PI denotes the data between Luminal-papillary and Luminal-infiltrated. log2FoldChange and p-adjust are the result of differential expression analysis, and degree is the result of differential network