Clarify the cell component model again

R/select_transcripts.R

@@ -3,11 +3,19 @@
 #' Helper function to select which experimental model will be used to generate the qSVs.
 #'
 #' @param type A `character(1)` specifying the transcripts set type.
-#' These were determined by Joshua M. Stolz et al, 2022. Here the names "cell_component", "top1500", and "standard" refer to models that were determined to be effective in removing degradation effects.
-#' The "standard" model involves taking the union of the top 1000 transcripts associated with degradation from the interaction model and the main effect model.
-#' The "top1500" model is the same as the "standard model except the union of the top 1500 genes associated with degradation is selected.
-#' The most effective of our models, "cell_component", involved deconvolution of the degradation matrix to determine the proportion of cell types within our studied tissue.
-#' These proportions were then added to our `model.matrix()` and the union of the top 1000 transcripts in the interaction model, the main effect model, and the cell proportions model were used to generate this model of qSVs.
+#' These were determined by Joshua M. Stolz
+#' et al, 2022. Here the names "cell_component", "top1500", and "standard" refer
+#' to models that were determined to be effective in removing degradation
+#' effects. The "standard" model involves taking the union of the top 1000
+#' transcripts associated with degradation from the interaction model and the
+#' main effect model. The "top1500" model is the same as the "standard" model
+#' except the union of the top 1500 genes associated with degradation is
+#' selected. The most effective of our models, "cell_component", involved
+#' deconvolution of the degradation matrix to determine the proportion of cell
+#' types within our studied tissue. These proportions were then added to our
+#' `model.matrix()` and the union of the top 1000 transcripts in the interaction
+#' model, the main effect model, and the cell proportions models (main and
+#' interaction) were used to generate this model of qSVs.
 #'
 #' @return A `character()` with the transcript IDs.
 #' @export