Identifying cell types from single-cell data based on similarities and dissimilarities between cells

Li, Yuanyuan; Luo, Ping; Lu, Yi; Wu, Fang-Xiang

doi:10.1186/s12859-020-03873-z

BMC Bioinformatics

Table 1 The best performance of improved spectral clustering with different parameter combinations of h and q

From: Identifying cell types from single-cell data based on similarities and dissimilarities between cells

h	q	ω	Purity	RI	ARI	NMI
5	0	0	0.6155	0.4668	− 0.0627	0.1506
5	2	0.5	0.8446	0.6938	0.3861	0.3934
5	5	0.1	0.9223	0.7545	0.5076	0.5556
10	0	0	0.6155	0.467	− 0.0626	0.1593
10	5	0.4	0.8582	0.6987	0.3958	0.3993
10	10	0.4	0.8718	0.7098	0.4181	0.4203
15	0	0	0.6155	0.4669	− 0.062	0.1582
15	7	0.2	0.9281	0.7588	0.5161	0.5784
15	15	0.2	0.9262	0.7449	0.4883	0.5565
20	0	0	0.6155	0.4682	− 0.0607	0.1686
20	10	0.7	0.866	0.7023	0.4031	0.3968
20	20	0.9	0.8718	0.7091	0.4168	0.4045
25	0	0	0.6155	0.4873	− 0.0239	0.2107
25	12	0.1	0.864	0.678	0.3545	0.422
25	25	0.3	0.9281	0.7463	0.4912	0.5621
30	0	0	0.6252	0.4925	− 0.0139	0.202
30	15	0.3	0.9262	0.7457	0.4898	0.5656
30	30	0.3	0.9242	0.7587	0.516	0.5574
35	0	0	0.6291	0.4941	− 0.0109	0.2049
35	17	1	0.866	0.706	0.4105	0.3899
35	35	0.3	0.9262	0.7623	0.5232	0.566
40	0	0	0.631	0.4926	− 0.0137	0.212
40	20	0.4	0.9242	0.7442	0.487	0.5505
40	40	0.4	0.92233	0.7437	0.4859	0.5508
45	0	0	0.631	0.4926	− 0.0137	0.212
45	22	0.4	0.9184	0.7345	0.4674	0.5417
45	45	0.4	0.9203	0.7495	0.4975	0.5513
50	0	0	0.6951	0.523	0.0455	0.256
50	25	0.1	0.9242	0.7526	0.5037	0.5498
50	50	1	0.8699	0.6973	0.3928	0.3924
55	0	0	0.7029	0.5275	0.0544	0.2627
55	27	0.9	0.8737	0.7185	0.4355	0.4164
55	55	0.1	0.9203	0.7479	0.4944	0.5393
60	0	0	0.7067	0.5299	0.0592	0.2662
60	30	0.4	0.8834	0.7169	0.432	0.4735
60	60	1	0.8796	0.7015	0.4014	0.4082
65	0	0	0.7165	0.5363	0.0718	0.2751
65	32	0.9	0.8757	0.7153	0.4292	0.4188
65	65	1	0.8776	0.6998	0.398	0.4044
70	0	0	0.7242	0.5415	0.0822	0.2823
70	35	0.4	0.9126	0.7498	0.4982	0.5474
70	70	1	0.8776	0.6993	0.3969	0.4041
75	0	0	0.73	0.5457	0.0906	0.2879
75	37	0.6	0.8854	0.7103	0.419	0.4286
75	75	0.4	0.9203	0.7607	0.5199	0.5715
80	0	0	0.7339	0.5488	0.0967	0.2849
80	40	0.9	0.8815	0.713	0.4245	0.4229
80	80	0.4	0.9203	0.7633	0.5252	0.5735
85	0	0	0.7417	0.5544	0.1076	0.2925
85	42	0.6	0.8893	0.7065	0.4113	0.4311
85	85	0.4	0.9184	0.7603	0.5192	0.5552

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ISSN: 1471-2105

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