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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.