[Retracted] Cancer Categorization Using Genetic Algorithm to Identify Biomarker Genes

Table 6

Comparison of the mRMRe-GA with other methods.

Algorithms	Colon		DLBCL outcome		Leukemia		Prostate
	#Genes	#Genes	#Genes	Accuracy	#Genes	Accuracy	#Genes	Accuracy
mRMRe-GA	4	100	6	100	3	100	5	100
GBC (Alshamlan et al. [13])	10	98.38			4	100
mRMR-ABC (Alshamlan et al. [15])	15	96.77			14	100
Co-ABC (Alshamlan [14])	9	96.77			3	100
COA-HS (Elyasigomari et al. [21])	5	100			6	100	5	100
GA (Peng et al. [16])	12	93.55			6	100
mRMR-GA (Akadi et al. [19])	5	95.61	45	87.93	15	100	50	96.08
PSO (Shen et al. [17])	20	85.48			23	94.44
mRMR-PSO (Abdi et al. [18])	10	90.32			18	100
GA-SVM (Gunavathi and Hemalatha [20])	10	95	10	77.27	10	95.45	10	92.68
AACO (Xiong and Wang [34])	4	96.77			3	100
GADP (Lee and Leu [35])	8	100			5	100
CS (Gunavathi and Premalatha [4])	10	95	10	72.72	10	95.45	10	92.68