#' 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"