BMC Bioinformatics

Table 5 The ARI, NMI, ACC, and BAS of sigLSTM and ScLSTM models are evaluated on eight data sets

From: ScLSTM: single-cell type detection by siamese recurrent network and hierarchical clustering

	ARI		NMI		ACC		BAS
	sigLSTM	ScLSTM	sigLSTM	ScLSTM	sigLSTM	ScLSTM	sigLSTM	ScLSTM
Biase	1	1	1	1	1	1	1	1
Yan	0.9081	0.9122	0.8940	0.9133	0.8667	0.8778	0.9458	0.9650
Goolam	0.1393	0.9925	0.201	0.9651	0.3871	0.9758	0.5665	0.9965
Camp	0.5399	0.8356	0.743	0.8984	0.6345	0.8842	0.8032	0.9462
Kolodziejczyk	0.0448	1	0.0404	1	0.4688	1	0.5229	1
Li	0.887	0.9527	0.8885	0.9573	0.8966	0.975	0.9435	0.9736
Usoskin	0.9801	0.9885	0.963	0.98	0.9887	0.9952	0.9914	0.994
Pollen	0.5975	0.9584	0.7581	0.9793	0.6645	0.9601	0.8044	0.9934

The best results are shown in bold

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ISSN: 1471-2105

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