Sparse logistic regression with a L1/2 penalty for gene selection in cancer classification

BMC Bioinformatics

Table 7 The 10 top-ranked informative genes found by the three sparse logistic regression methods from the Leukaemia dataset

Rank	Gene description
	L_1/2	L_EN	L₁
1	CST3 cystatin C *	CFD complement factor D (adipsin) *	CST3 cystatin C *
2	MPO myeloperoxidase *	CST3 cystatin C *	CFD complement factor D (adipsin) *
3	IL8 interleukin 8	MPO myeloperoxidase *	MPO myeloperoxidase *
4	GYPB glycophorin B (MNS blood group)	DNTT deoxynucleotidyltransferase, terminal *	IL8 interleukin 8 *
5	IGL immunoglobulin lambda locus	TCL1A T-cell leukemia/lymphoma 1A *	DNTT deoxynucleotidyltransferase, terminal *
6	DNTT deoxynucleotidyltransferase, terminal	IGL immunoglobulin lambda locus *	TCL1A T-cell leukemia/lymphoma 1A *
7	LOC100437488 interleukin-8-like	IL8 interleukin 8 *	IGL immunoglobulin lambda locus
8	LTB lymphotoxin beta (TNF superfamily, member 3)	ZYX zyxin *	LTB lymphotoxin beta (TNF superfamily, member 3)
9	TCRB T cell receptor beta cluster	LTB lymphotoxin beta (TNF superfamily, member 3) *	CD79A CD79a molecule, immunoglobulin-associated alpha
10	S100A9 S100 calcium binding protein A9	CD79A CD79a molecule, immunoglobulin-associated alpha	HBB hemoglobin, beta

The genes with star(*) are the most frequently selected genes to construct the classifiers according to the last column of Table 6, and the common genes obtained by L_1/2 , L_EN , L₁ classifiers are emphasized with bold.

ISSN: 1471-2105