SKCM-TM: Correlation between mRNAseq expression and clinical features
Maintained by Juok Cho
(Broad Institute)
Overview
Introduction
Summary
Testing the association between 18101 genes and 3 clinical features across 124 samples, statistically thresholded by Q value < 0.05, 2 clinical features related to at least one genes.
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3 genes correlated to 'AGE'.
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F7|2155 , XCL2|6846 , FAM19A5|25817
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16 genes correlated to 'GENDER'.
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ZFY|7544 , XIST|7503 , PRKY|5616 , RPS4Y1|6192 , DDX3Y|8653 , ...
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No genes correlated to 'Time to Death'
Results
Overview of the results
Complete statistical result table is provided in Supplement Table 1
Table 1. Get Full Table This table shows the clinical features, statistical methods used, and the number of genes that are significantly associated with each clinical feature at Q value < 0.05.
Clinical feature | Statistical test | Significant genes | Associated with | Associated with | ||
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Time to Death | Cox regression test | N=0 | ||||
AGE | Spearman correlation test | N=3 | older | N=0 | younger | N=3 |
GENDER | t test | N=16 | male | N=12 | female | N=4 |
Methods & Data
Copyright © 2013
Broad Institute TCGA GDAC as part of the TCGA Research Network.
All rights reserved.