View source: R/tmescore_estimation_helper.R
tmescore_estimation_helper | R Documentation |
Calculating TMEscore using PCR data
tmescore_estimation_helper( pdata = NULL, eset, signature = NULL, mini_gene_count = 2, column_of_sample = "ID", replace_na = FALSE, scale = FALSE, method = "mean", adjust_eset = FALSE, log2trans = FALSE, save_data = FALSE, file_name = NULL )
pdata |
phenotype data of input sample; if phenotype data is NULL, create a data frame with 'Index' and 'ID' contain column names of eset |
eset |
normalizaed transcriptomic data: normalized (CPM, TPM, RPKM, FPKM, etc.) |
signature |
List of gene signatures |
mini_gene_count |
filter out signatures with genes less than minimal gene in expression set; |
column_of_sample |
Defines in which column of pdata the sample identifier can be found |
replace_na |
default is FALSE |
scale |
default is FALSE |
method |
default is TRUE |
adjust_eset |
remove variables with missing value, sd =0, and Inf value |
log2trans |
default is FALSE |
save_data |
default is FALSE |
file_name |
default is null |
data frame with pdata and signature scores for gene sets; signatures in columns, samples in rows
Dongqiang Zeng
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