Table 3

Correlation Coefficients

ITSN

IMMT

KIF1B

SLC25A

WNK1

breast vs. non-breast

0.9889

0.9734

0.9473

0.9770

0.9709

cereb. vs. non-cereb.

0.5605

0.9823

0.7727

0.9661

0.9764

heart vs. non-heart

0.9711

0.8616

0.6756

0.9302

0.9410

kidney vs. non-kidney

0.9656

0.9901

0.9215

0.9799

0.8768

liver vs. non-liver

0.9766

0.9452

0.9197

0.9875

0.9793

muscle vs. non-muscle

0.9799

0.9834

0.8285

0.9412

0.9771

panc. vs. non-panc.

0.9158

0.9772

0.9333

0.9747

0.9427

prost. vs. non-prost

0.9807

0.9940

0.9655

0.9786

0.9431

spleen vs. non-spleen

0.9852

0.9790

0.8928

0.9739

0.9769

testes vs. non-testes

0.9864

0.9960

0.8198

0.9717

0.9827

thyroid vs. non-thyroid

0.9889

0.9734

0.9473

0.9770

0.9709

z-score between highest and lowest coefficients

9.71

4.42

6.68

2.76

5.05

Pearson correlation coefficients of the 5 genes (rounded to 4 significant digits) calculated for all eleven tissue comparisons using the unfiltered dataset. Values in bold indicate that the gene had a significant p-value (corrected p-value < 0.0001) in that SI/LIMMA group comparison. The highest and lowest correlation coefficients for each gene were found to be significantly different (all had z-scores greater than 2).

Shah and Pallas BMC Bioinformatics 2009 10:26   doi:10.1186/1471-2105-10-26