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

Table 4

ARI metric obtained by the IGRDCGA and several competing algorithms.

Dataset	K means	Spectral	SIMLR	IGRDCGA	PCA	tSNE
Allodiploid	0.2767	−0.0500	1.0000	1.0000	1.0000	−0.0125
Sasagawa	0.1322	0.0262	0.4306	0.9023	0.5238	−0.0037
Ramskold	0.3999	0.1379	0.5358	0.9481	0.8590	0.0024
Biase	0.5343	0.2827	0.7346	1.0000	0.9556	−0.0118
Ting	0.0985	0.0196	0.3019	0.3905	0.3044	0.0002
Chung	0.0420	−0.0021	0.2011	0.2059	0.1222	0.2216
Yeo	0.1408	−0.0068	0.7760	0.7964	0.7675	0.5966
Ning	0.0608	0.0007	0.3269	0.7456	0.3137	−0.0004
Ginhoux	0.3753	−0.0016	0.3379	0.6062	0.4790	−0.0002
Su	0.3035	0.0084	0.3329	0.5590	0.3180	0.0000
Usoskin	0.1033	0.0020	0.3007	0.8343	0.5319	0.5538
Deng	0.7033	0.1435	0.5059	0.8786	0.5460	0.0011
Fan	0.1156	0.0386	0.3323	0.4049	0.3529	0.0060
Goolam	0.1436	0.0656	0.2284	0.7564	0.1433	0.0005
Kolodz	0.6468	0.0010	0.9762	1.0000	0.9880	0.0011
Nestorowa	0.2236	0.0735	0.2166	0.2572	0.2284	0.2584
Treutlein	0.1204	0.0741	0.2615	0.8138	0.4066	−0.0038
Camp15	0.3614	0.0141	0.4402	0.4835	0.3537	0.4121
Camp17	0.4667	0.0031	0.4859	0.6025	0.5641	−0.0005
Yan	0.5801	0.2894	0.6304	0.9425	0.8453	−0.0045
Wang	0.0084	0.0025	0.1445	0.1239	0.1111	0.1926
Li1	0.2265	0.0002	0.6032	0.6023	0.5354	−0.0002
Li2	0.0280	0.0111	0.1496	0.3423	0.1793	0.0014
Patel	0.0581	−0.0012	0.6065	0.7383	0.7424	0.8437
Pollen	0.2423	0.0177	0.8436	0.8258	0.8326	0.7889
Manno_m	0.0721	0.0024	0.1317	0.1351	0.1328	0.1822
Manno_h	0.0774	0.3050	0.1489	0.1593	0.2006	0.2767
Tasic	0.4326	0.6113	0.6176	0.8090	0.6889	0.6716
Zeisel	0.3023	0.4970	0.5730	0.4676	0.3418	0.5866
Grun	−0.0300	0.0730	0.4375	0.5053	−0.0355	−0.0001
Baron	0.0516	0.2526	0.2887	0.3202	0.1450	0.3251
Muraro	0.1306	0.4838	0.5716	0.6391	0.2261	−0.0002
Xin	0.2802	0.2389	0.0771	0.8145	0.3374	0.0000