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. 2018 Feb 22;14(2):e1006026. doi: 10.1371/journal.pcbi.1006026

Table 1. Analysis of random bias in TCGA datasets.

Dataset Signif % P-value PCNA % PCNA p-val
ACC 80 0 45 2.7e-122
BLCA 55 2e-187 51 1e-157
BRCA 21 1.3e-27 14 1.1e-12
CESC 6 0.38 7 0.072
CHOL 1 6.7e-10 1 2.2e-09
COAD 3 0.0063 1 5.7e-07
COADREAD 5 0.64 2 0.00012
DLBC 5 0.8 3 0.033
ESCA 0 1.1e-12 0 8.9e-12
GBM 7 0.075 7 0.11
GBMLGG 99 0 88 0
HNSC 25 8.5e-38 28 4.9e-48
KICH 8 0.0095 6 0.4
KIPAN 64 1.9e-279 24 1.3e-35
KIRC 82 0 68 0
KIRP 63 3.4e-260 10 4.1e-05
LAML 0 4.9e-11 0 1.1e-10
LGG 80 0 66 5.9e-302
LIHC 34 5.2e-70 4 0.35
LUAD 45 8.8e-118 19 3.8e-22
LUSC 20 1.9e-25 12 5.5e-09
MESO 53 7.7e-172 20 1.1e-25
OV 4 0.12 4 0.3
PAAD 43 2.1e-107 6 0.37
PCPG 4 0.16 4 0.17
PRAD 1 4.3e-06 1 3.9e-08
READ 2 0.00012 2 0.00061
SKCM 3 0.016 4 0.54
TGCT 0 2e-12 0 4e-13
THCA 3 0.0049 4 0.23
THYM 18 6.2e-21 20 2.7e-25
UCEC 62 1.1e-250 46 2.8e-127
UCS 2 1.7e-05 1 7.9e-06
UVM 38 5.3e-84 21 4e-28

In this table ‘Dataset’ indicates the abbreviation of the dataset as defined by the TCGA consortium; ‘Signif %’ is the proportion of significant random sets of size 64; ‘P-value’ is the significance by a proportion test for obtaining the proportion of significant %; ‘PCNA %’ is the proportion of significant random sets of size 64 after adjusting for the PCNA signature; and ‘PCNA p-val’ is the significance of the value in PCNA %. The analysis was performed with 5000 random sets.