diff --git a/R/ranking.R b/R/ranking.R
index fd82c2d..e0da83e 100644
--- a/R/ranking.R
+++ b/R/ranking.R
@@ -5,6 +5,18 @@
 #'
 #' @param data The input data to use. This should either be the result of a
 #'   previous call to this function or the return value of [analyze()].
+#' @param cross_sample_metric Name of the column that should be used as the
+#'   metric measuring the expression across samples.
+#' @param cross_sample_weight Relative weight that should be assigned to the
+#'   cross sample metric.
+#' @param level_metric Name of the column that should be used to represent
+#'   overall expression levels.
+#' @param level_weight Relative weight that should be assigned to the level
+#'   metric.
+#' @param variation_metric Name of the column that should be used as the metric
+#'   representing variation in expression.
+#' @param variation_weight Relative weight that should be assigned to the
+#'   variation metric.
 #'
 #' @return A `data.table` with gene data as well as the scores, ranks and
 #'   percentiles for each gene.
diff --git a/man/rank_genes.Rd b/man/rank_genes.Rd
index 4ee8191..0cc94cf 100644
--- a/man/rank_genes.Rd
+++ b/man/rank_genes.Rd
@@ -17,6 +17,24 @@ rank_genes(
 \arguments{
 \item{data}{The input data to use. This should either be the result of a
 previous call to this function or the return value of \code{\link[=analyze]{analyze()}}.}
+
+\item{cross_sample_metric}{Name of the column that should be used as the
+metric measuring the expression across samples.}
+
+\item{cross_sample_weight}{Relative weight that should be assigned to the
+cross sample metric.}
+
+\item{level_metric}{Name of the column that should be used to represent
+overall expression levels.}
+
+\item{level_weight}{Relative weight that should be assigned to the level
+metric.}
+
+\item{variation_metric}{Name of the column that should be used as the metric
+representing variation in expression.}
+
+\item{variation_weight}{Relative weight that should be assigned to the
+variation metric.}
 }
 \value{
 A \code{data.table} with gene data as well as the scores, ranks and