Table 10.

Comparison of PLPCA and Other Methods on Datasets Obtained from Gene Expression Omnibus

data set	method	mean ACC	mean macro-REC	mean macro-PRE	mean macro-F1	macro-AUC
GSE14020	PLPCA	0.8228	0.7240	0.6679	0.6709	0.6811
	pLPCA	0.8038	0.7102	0.6564	0.6546	0.6698
	RLSDSPCA13	0.8152	0.7219	0.6692	0.6681	0.6790
	SDSPCA11,13	0.7876	0.6964	0.6375	0.6354	0.6500
	RgLPCA12	0.8123	0.7145	0.6619	0.6612	0.6733
	gLSPCA41	0.5399	0.3788	0.4000	0.3415	0.5237
	gLPCA12	0.8133	0.7177	0.6649	0.6633	0.6745
	PCA42	0.7800	0.6930	0.6346	0.6306	0.6466
GSE39582	PLPCA	0.9960	0.9749	0.9520	0.9603	0.9700
	pLPCA	0.9927	0.9732	0.9182	0.9385	0.9609
	RLSDSPCA13	0.9959	0.9748	0.9473	0.9573	0.9650
	SDSPCA11,13	0.9947	0.9742	0.9742	0.9570	0.9623
	RgLPCA12	0.9932	0.9734	0.9182	0.9387	0.9611
	gLSPCA41	0.9400	0.5824	0.5614	0.5701	0.6123
	gLPCA12	0.9926	0.9731	0.9173	0.9380	0.9608
	PCA42	0.9923	0.9730	0.9118	0.9342	0.9600
GSE18842	PLPCA	0.8688	0.8648	0.8864	0.8559	0.8500
	pLPCA	0.8171	0.8047	0.8505	0.7831	0.8438
	RLSDSPCA13	0.8166	0.8041	0.8542	0.7837	0.8401
	SDSPCA11,13	0.8176	0.8052	0.8552	0.7845	0.8449
	RgLPCA12	0.8166	0.8043	0.8542	0.7837	0.8452
	gLSPCA41	0.6300	0.6188	0.6357	0.6078	0.6210
	gLPCA12	0.8183	0.8060	0.8554	0.7856	0.8470
	PCA42	0.8185	0.8062	0.8556	0.7859	0.8474
GSE35988	PLPCA	0.7159	0.7640	0.7229	0.6710	0.7111
	pLPCA	0.6697	0.7307	0.6824	0.6267	0.6995
	RLSDSPCA13	0.7054	0.7589	0.7108	0.6616	0.7105
	SDSPCA11,13	0.7009	0.7520	0.7102	0.6550	0.7098
	RgLPCA12	0.6864	0.7426	0.6953	0.6434	0.7051
	gLSPCA41	0.7050	0.6450	0.6103	0.6136	0.6800
	gLPCA12	0.6735	0.7334	0.6888	0.6306	0.7002
	PCA42	0.6764	0.7353	0.6900	0.6336	0.7002
GSE29272	PLPCA	0.7925	0.7901	0.8289	0.7814	0.7923
	pLPCA	0.6729	0.6672	0.7279	0.6057	0.7591
	RLSDSPCA13	0.6738	0.6676	0.7445	0.6038	0.7601
	SDSPCA11,13	0.6747	0.6686	0.7412	0.6040	0.7614
	RgLPCA12	0.6700	0.6644	0.7277	0.6023	0.7552
	gLSPCA41	0.5120	0.5021	0.5555	0.3492	0.5156
	gLPCA12	0.6710	0.6653	0.7280	0.6028	0.7587
	PCA42	0.6707	0.6649	0.7290	0.6025	0.7585