% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/data_doc.R
\docType{data}
\name{sig_group}
\alias{sig_group}
\title{Grouped gene signatures for IOBR analysis}
\format{
A named list of length 43. Each element is a character vector of
  signature names. Representative groups include:
  \describe{
    \item{tumor_signature}{Signatures related to intrinsic tumour biology
      such as cell cycle, DNA damage repair and histone regulation.}
    \item{EMT}{Epithelial–mesenchymal transition (EMT)–associated
    signatures.}
    \item{io_biomarkers}{Immuno-oncology biomarker–related signatures.}
    \item{immu_microenvironment}{Immune microenvironment–related signatures.}
    \item{immu_suppression}{Immune suppression–related signatures.}
    \item{immu_exclusion}{Signatures associated with immune exclusion and
      stromal barriers.}
    \item{TCR_BCR}{T-cell and B-cell receptor pathway signatures.}
    \item{tme_signatures1}{Tumour microenvironment signature panel (set 1).}
    \item{tme_signatures2}{Tumour microenvironment signature panel (set 2).}
    \item{...}{Additional groups are included (43 total), but not listed
      individually here; all groups follow the same structure.}
  }
}
\usage{
data(sig_group)
}
\description{
A named list that organizes gene signatures into functional or biological
categories. Each element of the list is a character vector containing the
names of gene signatures defined in \code{signature_collection}. A total of
43 signature groups are included, covering tumour intrinsic pathways,
immune-related processes, stromal activity, TME characteristics and
immuno-oncology biomarkers. These groups are used in IOBR to conveniently
select sets of signatures for scoring and visualization.
}
\examples{
data(sig_group)
head(sig_group)
}
\keyword{datasets}
