This pipeline uses various statistical tests to identify miRs whose expression levels correlated to selected clinical features.
Testing the association between 487 genes and 2 clinical features across 146 samples, statistically thresholded by Q value < 0.05, 1 clinical feature related to at least one genes.
-
1 gene correlated to 'RADIATIONS.RADIATION.REGIMENINDICATION'.
-
HSA-MIR-449A
-
No genes correlated to 'AGE'
Complete statistical result table is provided in Supplement Table 1
Clinical feature | Statistical test | Significant genes | Associated with | Associated with | ||
---|---|---|---|---|---|---|
AGE | Spearman correlation test | N=0 | ||||
RADIATIONS RADIATION REGIMENINDICATION | t test | N=1 | yes | N=1 | no | N=0 |
AGE | Mean (SD) | 60.38 (7) |
Significant markers | N = 0 |
One gene related to 'RADIATIONS.RADIATION.REGIMENINDICATION'.
RADIATIONS.RADIATION.REGIMENINDICATION | Labels | N |
NO | 5 | |
YES | 141 | |
Significant markers | N = 1 | |
Higher in YES | 1 | |
Higher in NO | 0 |
T(pos if higher in 'YES') | ttestP | Q | AUC | |
---|---|---|---|---|
HSA-MIR-449A | 4.27 | 7.692e-05 | 0.0338 | 0.6197 |
-
Expresson data file = PRAD-TP.miRseq_RPKM_log2.txt
-
Clinical data file = PRAD-TP.clin.merged.picked.txt
-
Number of patients = 146
-
Number of genes = 487
-
Number of clinical features = 2
For continuous numerical clinical features, Spearman's rank correlation coefficients (Spearman 1904) and two-tailed P values were estimated using 'cor.test' function in R
For two-class clinical features, two-tailed Student's t test with unequal variance (Lehmann and Romano 2005) was applied to compare the log2-expression levels between the two clinical classes using 't.test' function in R
For multiple hypothesis correction, Q value is the False Discovery Rate (FDR) analogue of the P value (Benjamini and Hochberg 1995), defined as the minimum FDR at which the test may be called significant. We used the 'Benjamini and Hochberg' method of 'p.adjust' function in R to convert P values into Q values.
This is an experimental feature. The full results of the analysis summarized in this report can be downloaded from the TCGA Data Coordination Center.