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Table 3 The list of seven biomarkers selected using the relational fuzzy clustering

From: Discovering biomarkers from gene expression data for predicting cancer subgroups using neural networks and relational fuzzy clustering

Gene ID

Image ID

Name

Rank

FGFR4

784224

fibroblast growth factor receptor 4

2

AF1Q

812105

transmembrane protein

6

NAB2

770868

NGFI-A binding protein 2 (ERG1 binding protein 2)

7

CDH2

325182

cadherin 2, N-cadherin (neuronal)

1

EHD1

745019

EH domain containing 1

3

LSP1

143306

lymphocyte-specific protein 1

4

FVT1

814260

follicular lymphoma variant translocation 1

5

  1. The NERFCM algorithm is used to find 6 clusters in the 20 genes selected in the first stage of the scheme. The partition obtained by the relational clustering and the results of stage two are combined to select just 7 marker Genes.