tmescore | R Documentation |
Calculate TMEscore
tmescore( eset, pdata = NULL, column_of_sample = "ID", method = "PCA", print_gene_pro = FALSE, classify = FALSE )
eset |
normalized expression data use function: scale(); with human gene symbol in rows and patient identifier in columns; |
pdata |
phenotype data with patient identifier or other clinical data in columns; the number of rows in pdata should be equal to the number of columns in eset |
column_of_sample |
Defines in which column of pdata the sample identifier can be found. |
method |
use PCA (default) or z-score function to calculate TMEscore |
print_gene_pro |
print signature gene propotion, default is FALSE |
classify |
classifying TMEscore into two groups using survival data and function of suvmmer. |
pdata with TMEscoreA, TMEscoreB and TMEscore
Dongqiang Zeng
tmescore<-tmescore(eset = eset_stad,pdata = pdata_stad,column_of_sample = "ID")
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