Table 1.

Comparison of the hair cell dataset with known expression changes during cell death in other tissues and cell types.

Comparing dataset	p-value	Activation z-score	# Genes
Cell death of kidney cells	5.76E-03	0.664	73
Cell death of kidney cell lines	1.09E-03	0.579	67
Neuronal cell death	2.80E-04	0.312	149
Cell death of brain cells	4.10E-04	0.024	63
Cell death of central nervous system cells	6.80E-04	0.015	66
Cell death of fibroblast cell lines	2.71E-04	−0.539	98
Cell death of cerebellar cortex cells	2.77E-05	−0.574	17
Cell death of tumor cell lines	4.70E-06	−0.656	331
Cell death of lymphoma cell lines	2.54E-03	−1.148	46
Cell death of fibroblasts	9.27E-05	−1.81	61

Selected entries are shown. The p-value, which is calculated using the right-tailed Fisher Exact Test by IPA, is a measure of the likelihood that the association between a set of focus genes in two datasets is due to random chance. Activation z-score is a quantitative measure of how similar the hair cell dataset is to the “comparing dataset”: larger positive number indicates there are more genes with expression changes in the same direction in both datasets, while larger negative number means there are more genes with changes in opposite direction between datasets. # Genes indicates number of overlapping genes in the comparison.