Description Usage Arguments Details Value Author(s) References Examples
This function computes stromal, immune, and ESTIMATE scores per sample using gene expression data.
1 2 3 | estimateScore(input.ds,
output.ds,
platform = c("affymetrix", "agilent", "illumina"))
|
input.ds |
character string specifying name of input GCT file containing stromal, immune, and estimate scores for each sample |
output.ds |
character string specifying name of output file |
platform |
character string indicating platform type. Defaults to "affymetrix" |
This method is based on single sample gene set enrichment analysis (ssGSEA) algorithm. This function computes stromal, immune, and ESTIMATE scores using gene-level expression data. For Affymetrix platform data, tumor purity are derived from ESTIMATE scores by applying non-linear squares methods to TCGA Affymetrix expression data (n=995).
Returns data.frame
with components:
StromalScorenumeric scalar specifying the presence of stromal cells in tumor tissue
ImmuneScorenumeric scalar specifying the level of infiltrating immune cells in tumor tissue
ESTIMATEScorenumeric scalar specifying tumor cellularity
TumorPuritynumeric scalar specifying ESTIMATE-based tumor purity with value in range[0,1]
Kosuke Yoshihara kyoshihara@mdanderson.org
Subramanian A, et al.
"Gene set enrichment
analysis: a knowledge-based approach for interpreting genome-wide expression
profiles."
Proc Natl Acad Sci U S A 2005, 102:15545-15550.
Barbie DA, et al.
"
Systematic RNA interference reveals that oncogenic KRAS-driven cancers
require TBK1."
Nature 2009, 462:108-112.
Verhaak RG, et al.
"
Integrated genomic analysis identifies clinically relevant subtypes of
glioblastoma characterized by abnormalities in PDGFRA, IDH1, EGFR, and
NF1."
Cancer Cell 2010, 17:98-110.
Carter SL, et al.
"Absolute quantification of somatic DNA alterations in human cancer."
Nat Biotechnol 2012, 30:413-421.
1 2 3 | in.file <- system.file("extdata", "sample_input.gct", package="estimate")
out.file <- tempfile(pattern="estimate", fileext=".gct")
estimateScore(in.file, out.file)
|
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