@@ -196,13 +196,14 @@ Estimates GSVA enrichment scores.

 \details{

 GSVA assesses the relative enrichment of gene sets across samples using

-a non-parametric approach.  Conceptually, GSVA transforms a p-gene by n-sample

+a non-parametric approach. Conceptually, GSVA transforms a p-gene by n-sample

 gene expression matrix into a g-geneset by n-sample pathway enrichment matrix.

 This facilitates many forms of statistical analysis in the 'space' of pathways

 rather than genes, providing a higher level of interpretability.

 By default, \code{gsva()} will try to match the identifiers in \code{expr} to

-the identifiers in \code{gset.idx.list} just as they are, unless the \code{annotation} argument is set.

+the identifiers in \code{gset.idx.list} just as they are, unless the

+\code{annotation} argument is set.

 The \code{gsva()} function first maps the identifiers in the gene sets in

 \code{gset.idx.list} to the identifiers in the input expression data \code{expr}.

@@ -228,6 +229,9 @@ the relationships between the type of identifiers in \code{expr} and \code{gset.

 The collection of gene sets resulting from the previous identifier matching,

 can be further filtered to require a minimun and/or maximum size by using the

 arguments \code{min.sz} and \code{max.sz}.

+

+If you use GSVA in your research, please cite also the corresponding method as

+described in the \code{method} parameter.

 }

 \value{

 A gene-set by sample matrix (of \code{matrix} or \code{dgCMatrix} type,