R/data.R

In ressomlab/INDEED: Interactive Visualization of Integrated Differential Expression and Differential Network Analysis for Biomarker Candidate Selection

#' GU cirrhosis (CIRR) and GU hepatocellular carcinoma (HCC) data.
#'
#' A dataset containing the expression levels of 39 metabolites on a total of 120 subjects (HCC: 60; CIRR: 60).
#'
#' @format A dataframe with 39 variables (rows) and 120 subjects (columns).
"Met_GU"


#' Group label.
#'
#' A dataset containing the group information (CIRR group: 0 and HCC group: 1).
#'
#' @format A dataframe with 1 row and 120 (subjects) columns.
"Met_Group_GU"


#' KEGG ID
#'
#' A dataset containing the KEGG ID for each metabolite.
#'
#' @format A dataframe with 39 KEGG ID as rows and 1 column.
"Met_name_GU"



#' P-values obtained by differential expression (DE) analysis.
#'
#' A dataset containing the p-value for each metabolite obtained through DE analysis.
#'
#' @format A data frame with 39 rows and 2 variables:
#' \describe{
#'   \item{KEGG.ID}{KEGG ID}
#'   \item{p.value}{p-value}
#' }
"pvalue_M_GU"