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Updated gsva() manual page.

Robert Castelo authored on 30/03/2021 13:25:12
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@@ -196,13 +196,14 @@ Estimates GSVA enrichment scores.
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 \details{
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 GSVA assesses the relative enrichment of gene sets across samples using
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-a non-parametric approach.  Conceptually, GSVA transforms a p-gene by n-sample
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+a non-parametric approach. Conceptually, GSVA transforms a p-gene by n-sample
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 gene expression matrix into a g-geneset by n-sample pathway enrichment matrix.
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 This facilitates many forms of statistical analysis in the 'space' of pathways
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 rather than genes, providing a higher level of interpretability.
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 By default, \code{gsva()} will try to match the identifiers in \code{expr} to
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-the identifiers in \code{gset.idx.list} just as they are, unless the \code{annotation} argument is set.
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+the identifiers in \code{gset.idx.list} just as they are, unless the
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+\code{annotation} argument is set.
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 The \code{gsva()} function first maps the identifiers in the gene sets in
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 \code{gset.idx.list} to the identifiers in the input expression data \code{expr}.
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@@ -228,6 +229,9 @@ the relationships between the type of identifiers in \code{expr} and \code{gset.
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 The collection of gene sets resulting from the previous identifier matching,
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 can be further filtered to require a minimun and/or maximum size by using the
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 arguments \code{min.sz} and \code{max.sz}.
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+
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+If you use GSVA in your research, please cite also the corresponding method as
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+described in the \code{method} parameter.
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 }
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 \value{
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 A gene-set by sample matrix (of \code{matrix} or \code{dgCMatrix} type,