Application of genetic algorithms and constructive neural networks for the analysis of microarray cancer data

Table 8 Selected genes for the Leukemia dataset

ID	Probe Set ID	Gene Description	References
4951	Y07604_at	NME/NM23 nucleoside diphosphate kinase 4	[41–43]
3847	U82759_at	Homeo box A9	[40, 44, 43]
6169	M13690_s_at	C1NH Complement component 1 inhibitor	[43, 45]
6184	M26708_s_at	PTMA Prothymosin alpha	[45]
6225	M84371_rna1_s_at	CD19 Molecule	[46]
1882	M27891_at	CST3 Cystatin C	[40, 41, 43, 44]
1834	M23197_at	CD33 antigen	[40, 44, 46]
4847	X95735_at	Zyxin	[40, 41, 44, 46]
3320	U50136_rna1_at	LTC4 synthase	[40, 43, 44, 46]
5094	Z24727_at	TPM1 Tropomyosin alpha chain	[47]

The best selected genes ranked with the GA approach for the Leukemia dataset which also appear in other studies in the literature.

ISSN: 1742-4682