Finding consistent disease subnetworks across microarray datasets

BMC Bioinformatics

Table 10 Percentage of genes from subnetworks for the lung dataset which are also considered significant for the t-test

Subnetwork name	Percentage
SNet_Notch signaling pathway_NOTCH3	100.00%
SNet_ECM-receptor interaction_SDC1	69.23%
SNet_Adherens junction_CTNNB1	100.00%
SNet_Tyrosine metabolism_ADH1B	100.00%
SNet_Phenylalanine metabolism_ALDH3B1	100.00%
SNet_Tryptophan metabolism_WBSCR22	80.00%
SNet_Natural killer cell mediated cytotoxicity_TNFSF10	60.00%
SNet_Insulin Recpetor Signaling_AKT3	100.00%
SNet_Glycogen Metabolism_PYGM	60.00%

Table depicting the percentage of genes from subnetworks which are also significant for the t-test. The first column depicts the name of the subnetwork considered. The second column depicts the percentage of genes from that subnetwork which are also deemed significant for the t-test. (Lung datasets [14, 15])

ISSN: 1471-2105