. Author manuscript; available in PMC: 2019 May 1.

Published in final edited form as: IEEE/ACM Trans Comput Biol Bioinform. 2017 Feb 7;15(3):760–773. doi: 10.1109/TCBB.2017.2665495

TABLE II.

The true discovery and true non-discovery rates for cPLS (with false discovery rate set to 0.10) and its comparative methods glasso and WGCNA.

Simulation model	n	p	True discovery rate			True non-discovery rate
Simulation model	n	p	cPLS	glasso	WGCNA	cPLS	glasso	WGCNA
Overdispersed Poisson	20	100	0.879	0.000	0.054	0.995	0.984	0.999
	20	1000	0.979	0.000	0.074	0.992	0.976	0.999
	100	100	0.997	0.000	0.144	0.987	0.969	1.000
	100	1000	0.993	0.000	0.323	0.992	0.975	1.000
Multinomial	20	100	0.126	0.000	0.003	0.999	0.999	1.000
	20	1000	0.076	0.000	0.000	1.000	1.000	1.000
	100	100	0.906	0.000	0.115	1.000	0.999	1.000
	100	1000	0.930	0.000	0.019	1.000	0.975	1.000
SimSeq	20	100	0.718	0.000	0.025	0.998	0.990	0.999
	20	1000	0.112	0.000	0.002	1.000	0.999	1.000
	100	100	0.660	0.000	0.042	0.998	0.990	0.999
	100	1000	0.164	0.000	0.003	1.000	0.999	1.000