Evolutionary Approach for Relative Gene Expression Algorithms

Table 2

Comparison of top-scoring algorithms, including accuracy with its standard deviation and the number of unique genes that build classifier’s model.

Datasets	TSP	TST	𝑘-TSP		EvoTSP
	Accuracy	Accuracy	Accuracy	Size	Accuracy	Size
GDS2771	57.2 ± 2.4	61.9 ± 2.8	62.9 ± 3.3	10	65.6 ± 2.0	4.0
GSE10072	88.7 ± 2.6	89.4 ± 2.1	90.1 ± 2.5	6	96.5 ± 1.3	2.1
GSE17920	64.9 ± 3.5	63.7 ± 4.7	67.2 ± 3.2	10	78.1 ± 2.6	2.8
GSE19804	93.5 ± 1.7	92.8 ± 1.5	94.1 ± 1.6	10	96.2 ± 1.1	2.1
GSE25837	56.0 ± 4.0	60.5 ± 5.1	58.4 ± 4.0	14	66.9 ± 5.6	3.1
GSE27272	47.3 ± 4.8	50.1 ± 3.8	56.2 ± 2.2	18	66.2 ± 1.1	2.7
GSE3365	81.9 ± 2.6	84.2 ± 2.7	87.2 ± 2.1	14	86.1 ± 2.8	4.1
GSE6613	49.5 ± 3.5	51.7 ± 2.8	55.8 ± 5.3	10	53.6 ± 5.4	6.1
Average	67.4 ± 3.3	69.3 ± 3.2	71.5 ± 3.0	11.5	76.2 ± 2.7	3.4