This pipeline uses various statistical tests to identify mRNAs whose expression levels correlated to selected clinical features.
Testing the association between 17814 genes and 4 clinical features across 25 samples, statistically thresholded by P value <= 0.05 and Q value <= 0.25

1 gene correlated to 'GENDER'.

MRPL3

1 gene correlated to 'PATHOLOGY.T'.

PAPPA2

No genes correlated to 'AGE', and 'PATHOLOGY.N'.
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  
GENDER  t test  N=1  male  N=1  female  N=0 
PATHOLOGY T  Spearman correlation test  N=1  higher pT  N=0  lower pT  N=1 
PATHOLOGY N  Spearman correlation test  N=0 
AGE  Mean (SD)  64.16 (10) 
Significant markers  N = 0 
GENDER  Labels  N 
FEMALE  12  
MALE  13  
Significant markers  N = 1  
Higher in MALE  1  
Higher in FEMALE  0 
T  ttestP  Q  AUC  
MRPL3  5.51  1.318e05  0.235  0.9487 
PATHOLOGY.T  Mean (SD)  1.71 (0.55) 
N  
T1  8  
T2  15  
T3  1  
Significant markers  N = 1  
pos. correlated  0  
neg. correlated  1 
SpearmanCorr  corrP  Q  
PAPPA2  0.766  1.28e05  0.228 
Input Data

Expresson data file = LUAD.medianexp.txt

Clinical data file = LUAD.clin.merged.picked.txt

Number of samples = 25

Number of genes = 17814

Number of clinical features = 4

p value cutoff = 0.05

q value cutoff = 0.25