BMC Bioinformatics

Table 4 Non-Gaussian tight cluster

From: Prediction of heterogeneous differential genes by detecting outliers to a Gaussian tight cluster

Outlier no	COPA	OS	ORT	MOST	LSOSS	DOG	M
1	0.2251	0.0156	0.0458	0.2847	0.5196	0.0031	0.99
2	0.0463	0.0120	0.0101	0.1692	0.2175	0.0015	1.99
3	0.0149	0.0017	0.0020	0.1492	0.1094	0.0020	2.96
4	0.0088	0.0003	0.0006	0.1270	0.0810	0.0014	3.99
5	0.0067	0.0001	0.0002	0.1062	0.0848	0.0015	4.97
6	0.0065	<10⁻⁴	<10⁻⁴	0.1045	0.0880	0.0015	5.94
7	0.0051	<10⁻⁴	<10⁻⁴	0.0887	0.0938	0.0013	6.96
8	0.0336	<10⁻⁴	<10⁻⁴	0.0828	0.0923	0.0014	7.92
9	0.0348	<10⁻⁴	<10⁻⁴	0.0821	0.0970	0.0012	8.98

Average p-values for the simulated hDEG with variable numbers of outliers for a mixture Gaussian ( $0.5 N (9, 1) + 0.5 N (10, 1)$ ) distributed tight cluster. M is the average number of outliers detected using DOG.

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