Gene Selection and Classification of scRNA-seq Data Combining Information Gain Ratio and Genetic Algorithm with Dynamic Crossover

Table 3

NMI metric obtained by the IGRDCGA and several competing algorithms.

Dataset	K means	Spectral	SIMLR	IGRDCGA	PCA	tSNE
Allodiploid	0.3793	0.0778	1.0000	1.0000	1.0000	0.0490
Sasagawa	0.3048	0.1815	0.4665	0.9128	0.6349	0.0903
Ramskold	0.6868	0.4946	0.7594	0.9709	0.9394	0.3444
Biase	0.6690	0.5114	0.8321	1.0000	0.9501	0.0544
Ting	0.2161	0.1211	0.5082	0.5778	0.5746	0.0585
Chung	0.1280	0.0295	0.3170	0.4196	0.2278	0.3336
Yeo	0.2358	0.0480	0.7744	0.8168	0.7650	0.6831
Ning	0.1100	0.0388	0.3465	0.7432	0.3579	0.0073
Ginhoux	0.4094	0.0326	0.4189	0.5580	0.4777	0.0074
Su	0.3145	0.0676	0.4963	0.5951	0.3910	0.0201
Usoskin	0.1823	0.0363	0.4552	0.8334	0.6235	0.6579
Deng	0.7451	0.3860	0.6979	0.8977	0.7671	0.0334
Fan	0.2939	0.1910	0.4925	0.5874	0.5249	0.1417
Goolam	0.2826	0.1917	0.4464	0.7428	0.3282	0.0527
Kolodz	0.7024	0.0235	0.9634	1.0000	0.9790	0.0035
Nestorowa	0.3499	0.1983	0.3514	0.3774	0.3562	0.3795
Treutlein	0.2520	0.2585	0.4574	0.8074	0.5445	0.0754
Camp15	0.4025	0.0596	0.5098	0.4945	0.4257	0.4979
Camp17	0.6479	0.0735	0.7420	0.7344	0.7366	0.0117
Yan	0.7034	0.4988	0.7937	0.9480	0.8830	0.0872
Wang	0.0609	0.0613	0.2588	0.3038	0.2226	0.3274
Li1	0.4852	0.0634	0.7377	0.7623	0.7168	0.0275
Li2	0.2117	0.1807	0.3387	0.5915	0.3452	0.1425
Patel	0.1669	0.0429	0.6446	0.7436	0.7349	0.8248
Pollen	0.5846	0.1790	0.9272	0.9008	0.9055	0.8886
Manno_m	0.3084	0.0887	0.4026	0.3979	0.4065	0.4710
Manno_h	0.3796	0.6052	0.4867	0.4849	0.5287	0.5927
Tasic	0.6758	0.7707	0.7456	0.8458	0.8039	0.8180
Zeisel	0.4681	0.6586	0.7097	0.6076	0.5229	0.7391
Grun	0.0059	0.1145	0.4133	0.3729	0.0055	0.0005
Baron	0.2079	0.5731	0.5950	0.5480	0.4281	0.6618
Muraro	0.2930	0.6647	0.7001	0.6897	0.4189	0.0095
Xin	0.2587	0.4237	0.2422	0.7201	0.5445	0.0100