. 2011 Nov 8;28(1):63–68. doi: 10.1093/bioinformatics/btr616

Table 1.

Comparison of Spearman's correlation coefficients between four different expression measures (RPKM, mseq, GPseq and POME) in 12 real datasets

Sample	N^a	RPKM	mseq	GPseq	POME
LnCaP_0	4964	0.6246	0.6155	0.5265	0.6887
LnCaP_24	4956	0.6186	0.6035	0.5466	0.6728
LnCaP_48	4946	0.6001	0.5955	0.4964	0.6407
VCaP_0	4939	0.5801	0.5607	0.5822	0.6046
VCaP_24	4948	0.5988	0.5474	0.5936	0.6234
VCaP_48	4941	0.6222	0.4577	0.6129	0.6569
aT34	4869	0.5789	0.5668	0.4351	0.5958
aT34N	4747	0.4281	0.4245	0.4624	0.3944
DU145F	4947	0.5945	0.5793	0.4575	0.6350
DU145F2	4943	0.5939	0.5783	0.4608	0.6263
VCaP	4944	0.5204	0.4024	0.4398	0.5175
RWPE	4969	0.5600	0.5514	0.4762	0.6013

In each dataset, the method with the highest Spearman's correlation coefficient is highlighted in bold.

^aThe number of transcripts measured in Illumina sequencing.