Identifying differential exon splicing using linear models and correlation coefficients

BMC Bioinformatics

Table 1 Number of significant probesets

	Unfiltered data	Filtered dataset A	Filtered dataset B
Breast-specific	1725	669	273
Cerebellum-specific	12009	5890	3122
Heart-specific	2746	1492	476
Kidney-specific	3354	1382	377
Liver-specific	4956	2213	636
Muscle-specific	3153	1606	583
Pancreas-specific	4908	1984	817
Prostate-specific	2494	1292	531
Spleen-specific	1513	674	332
Testes-specific	10430	2819	1476
Thyroid-specific	897	387	112
Total no. of significant probesets	34208	14536	6895
Total no. of transcript clusters analysed	17881	14180	10414
Total no. of transcript clusters with at least one significant probeset	10122	6338	3564

The table shows the number of probesets with Benjamini-Hochberg-corrected p-values less than 0.0001 in each of the 11 comparisons for the unfiltered and filtered datasets. The table also shows the number of transcript clusters (genes) that were found to contain at least one significant probeset.

ISSN: 1471-2105