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Table 4 Performance comparison of com-abnormal gene selection in multi-view datasets

From: Robust hypergraph regularized non-negative matrix factorization for sample clustering and feature selection in multi-view gene expression data

Methods

N

Com-abnormal genes

PCA

25

KRT19, SPINK1, PRSS1, MUC6, VIM, HLA-A, SERPINA1, CTSB, KRT8, GNAS, ANXA2, HSPB1, HLA-C, KRT5, S100A6, PKM, HSP90AA1, ENO1, KRT17, MALAT1, COL1A1, ALDOA, LIPF, TMSB10, RPLP0

NMF

15

KRT19, SPINK1, PRSS1, HLA-A, SERPINA1, CTSB, KRT8, SPP1, GNAS, KRT5, S100A6, SERPINA3, COL1A1, TMSB10, RPLP0

GNMF

24

KRT19, PRSS1, MUC6, VIM, HLA-A, SERPINA1, CTSB, KRT8, GNAS, ANXA2, HSPB1, HLA-C, KRT5, S100A6, PKM, HSP90AA1, ENO1, KRT17, MALAT1, COL1A1, ALDOA, LIPF, TMSB10, RPLP0

NMFL2, 1

31

CEACAM5, KRT19, VIM, HLA-A, SERPINA1, CTSB, KRT8, CEACAM6, GNAS, ANXA2, HSPB1, HLA-C, KRT5, LAMC2, S100A6, ITGB1, PKM, HSP90AA1, ENO1, KRT17, MALAT1, MMP11, ITGB4, COL1A1, HSPG2, ALDOA, LDHA, LGALS3BP, S100A11, TMSB10, RPLP0

HNMF

32

CEACAM5, KRT19, VIM, HLA-A, SERPINA1, CTSB, KRT8, CEACAM6, GNAS, ANXA2, HSPB1, HLA-C, KRT5, S100A6, ITGB1, PKM, HSP90AA1, ENO1, S100A9, KRT17, LCN2, MALAT1, ITGB4, COL1A1, HSPG2, ALDOA, HSP90B1, LDHA, LGALS3BP, S100A11, TMSB10, RPLP0

SHNMF

31

CEACAM5, KRT19, VIM, HLA-A, SERPINA1, CTSB, KRT8, CEACAM6, GNAS, ANXA2, HSPB1, HLA-C, KRT5, S100A6, ITGB1, PKM, HSP90AA1, ENO1, S100A9, KRT17, LCN2, MALAT1, COL1A1, HSPG2, ALDOA, HSP90B1, LDHA, LGALS3BP, S100A11, TMSB10, RPLP0

RGNMF

33

EGFR, CCND1, KRT19, CD44, PRSS1, VIM, SLC2A1, CTSB, GNAS, ANXA2, HSPB1, HLA-C, KRT5, LAMC2, S100A6, ITGB1, PKM, HSP90AA1, ENO1, S100A9, H19, KRT17, ANXA1, MALAT1, ITGB4, COL1A1, ALDOA, HSPA1A, TNC, LDHA, LGALS3BP, S100A11, TMSB10

RHNMF

34

CEACAM5, KRT19, VIM, HLA-A, SERPINA1, CTSB, KRT8, CEACAM6, SPP1, GNAS, ANXA2, HSPB1, HLA-C, KRT5, KRT18, S100A6, ITGB1, PKM, HSP90AA1, ENO1, KRT17, HSPA5, LCN2, MALAT1, ITGB4, COL1A1, HSPG2, ALDOA, HSP90B1, LDHA, LGALS3BP, S100A11, TMSB10, RPLP0

  1. Note: Bold genes denote that they are selected simultaneously by these eight methods. Underlined genes denote that they can be selected by RHNMF. N represents the number of com-abnormal genes selected for every method