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Table 4 Receiver operating curves (ROC) for genes overexpressed in relapse-associated modules

From: Multivariate transcriptome analysis identifies networks and key drivers of chronic lymphocytic leukemia relapse risk and patient survival

Gene AUC Z p value Module
URAHP 0.71558 5.95301 0 Black
MID1IP1 0.70859 5.62656 0 Black
ZAP70 0.66843 4.2768 2.00E−05 Black
RAB4B.EGLN2 0.6482 3.93621 8.00E−05 Black
ITPKA 0.64456 3.7544 0.00017 Black
LDOC1 0.62717 3.13477 0.00172 Black
RELL1 0.6954 5.3149 0 Brown
HIST1H1E 0.66089 4.18598 3.00E−05 Brown
JADE3 0.66024 4.13126 4.00E−05 Brown
ID1 0.65624 4.03103 6.00E−05 Brown
FUT5 0.63222 3.39698 0.00068 Brown
CRY1 0.73077 6.38277 0 Purple
CLEC3B 0.70679 5.69858 0 Purple
RMRP 0.68482 4.94943 0 Purple
FAM166A 0.68297 4.91336 0 Purple
PRR7 0.65664 4.03721 5.00E−05 Purple
TCTEX1D4 0.68681 5.03117 0 Salmon
UNC93B2 0.68412 4.97913 0 Salmon
LTB4R2 0.68167 4.81932 0 Salmon
C4orf48 0.67123 4.61744 0 Salmon
TNFRSF25 0.61798 3.04507 0.00233 Salmon
SLC41A2 0.67612 4.65439 0 Yellow
TNFSF9 0.66653 4.36275 1.00E−05 Yellow
SLC7A5 0.65574 4.04569 5.00E−05 Yellow
CKS2 0.61918 2.97625 0.00292 Yellow
LMNA 0.6013 2.4887 0.01282 Yellow
  1. Table of genes, AUC scores, and p values from ROC analysis. The input genes had AUC scores above 0.5. URAHP (0.711), MID1IP1(0.693), and APBB2(0.691) have the highest AUC scores. p values of zero represent significance less than 10E−06