few typos left over, now fixed

Author: federicomarini

vignettes/Introduction_to_iSEEWorkshopEuroBioc2025.Rmd

@@ -39,7 +39,7 @@ iSEE (Interactive SummarizedExperiment Explorer) is a Bioconductor software pack
 Given the widespread adoption of SummarizedExperiment and its derivatives (SingleCellExperiment, SpatialExperiment, …) throughout the Bioconductor ecosystem and the smooth interoperability from other main frameworks (Seurat, Scanpy/AnnData), this package can be a ubiquitous companion across all the main steps of efficient analysis workflows, from the initial quality control all the way down to deploying data to accompany publications. 
 
 In this workshop, we will provide an overview of its main functionality, displaying how the most common tasks in data exploration and interpretation can be achieved within this package, which delivers an efficient combination of interactivity and reproducibility.  
-Attendees will be able to learn hands-on through a collection of vignettes that compose a masterclass-like full course on iSEE and its related packages (iSEEu, iSEEde, iSEEpathways, iSEEindex, and more). We aim to empower users in a "from zero to hero" format to explore in depth a wide spectrum of datasets, providing a free, natural, efficient, and customizable solution to achieve this within the Bioconductor project, and ultimately extract valuable insight from omics datasets in interdisciplinary settings. 
+Attendees will be able to learn hands-on through a rich vignette that composes a masterclass-like full course on iSEE and its related packages (iSEEu, iSEEde, iSEEpathways, iSEEindex, and more). We aim to empower users in a "from zero to hero" format to explore in depth a wide spectrum of datasets, providing a free, natural, efficient, and customizable solution to achieve this within the Bioconductor project, and ultimately extract valuable insight from omics datasets in interdisciplinary settings. 
 
 # Installing and loading the required packages
 
@@ -148,7 +148,7 @@ There are 8 essential panel types by default within iSEE:
 * The **complex heatmap panel** displays, for any assay, the observed values for a subset of the features across the samples.
 * The **feature assay plot** displays the observed values for one feature across the samples.
 It is also possible to plot the observed values for two features, in a scatter plot.
-* The **sample assay plot** .fullName(SampleAssayPlot())` shows the observed values for all features, for one of the samples. It is also possible to plot the observed values for two samples, in a scatter plot.
+* The **sample assay plot** shows the observed values for all features, for one of the samples. It is also possible to plot the observed values for two samples, in a scatter plot.
 * The **row data table** displays all information provided in the `rowData` slot of the `SummarizedExperiment` object, leveraging the interactivity provided by the `r CRANpkg("DT")` package.
 * The **column data table** displays all information provided in the `colData` slot of the `SummarizedExperiment` object.