BMC Bioinformatics

Table 2 Simulation results: model selection

From: Super-sparse principal component analyses for high-throughput genomic data

						SPCA				SSPCA
n	p			PCA	HL	LASSO	EN	PCA*	HL	LASSO	EN
80	20	2.0	0.1	0	72	12	64	0	95	14	99
				0/16	16/16	14/16	16/16	0/16	16/16	15/16	16/16
				0/4	0/4	0/4	0/4	0/4	0/4	0/4	0/4
		0.5	0.1	0	77	1	56	0	100	43	99
				0/16	16/16	12/16	16/16	0/16	16/16	15/16	16/16
				0/4	0/4	0/4	0/4	0/4	0/4	0/4	0/4
50	200	2.0	0.1	0	73	0	88	0	100	27	87
				0/196	196/196	184.5/196	196/196	0/196	196/196	194/196	196/196
				0/4	0/4	0/4	0/4	0/4	0/4	0/4	0/4
		0.5	0.1	0	79	0	70	0	97	84	0
				0/196	196/196	185.5/196	196/196	0/196	196/196	196/196	196/196
				0/4	0/4	0/4	0/4	0/4	0/4	0/4	3/4

Percentages of selecting the true model, the median number of correct 0 divided by the number of zeroes and incorrect 0 divided by the number of non-zeroes.
PCA*: PCA using X*

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