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Table 1 Overview about employed breast datasets

From: Regularized logistic regression with network-based pairwise interaction for biomarker identification in breast cancer

Dataset

Publication

# patients

Classification

# patients of each class

GSE2034

[62]

242

time to relapse ≤5 y & relapse =True

95

   

time to relapse >7 y & relapse =False

147

GSE1456

[63]

111

time to relapse ≤5 y & relapse =True

35

   

time to relapse >7 y & relapse =False

76

GSE11121

[64]

125

t.dmfs ≤5 y & e.dmfs =True

28

   

t.dmfs >7 y & e.dmfs =False

97

GSE6532

[65]

178

t.dmfs ≤5 y & e.dmfs =True

51

   

t.dmfs >7 y & e.dmfs =False

127

GSE4922

[66]

204

DFS.time ≤5 y & DFS.status =True

70

   

DFS time >7 y & DFS.status =False

134

GSE12093

[67]

79

DFS.time ≤5 y & DFS.status =True

12

   

DFS.time >7 y & DFS.status =False

67

  1. t.dmfs denotes the time for distant metastasis-free survival and e.dmfs is the corresponding event indicator. DFS.time denotes the time for disease-free survival and DFS.status is the corresponding event indicator
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BMC Bioinformatics

ISSN: 1471-2105

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