From: Identifying differential exon splicing using linear models and 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 |