diff --git a/R/select_transcripts.R b/R/select_transcripts.R
index bd3eb8f..a7277fd 100644
--- a/R/select_transcripts.R
+++ b/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
diff --git a/man/DEqual.Rd b/man/DEqual.Rd
index a47fbd1..5214bee 100644
--- a/man/DEqual.Rd
+++ b/man/DEqual.Rd
@@ -19,7 +19,7 @@ DEqual(
 from Differential Expression, typically generated with \code{limma::topTable()}.
 \code{rownames(DE)} must have transcript Ensembl/Gencode IDs.}
 
-\item{deg_tstats}{an optional\code{data.frame()} with a column "t" containing
+\item{deg_tstats}{an optional \code{data.frame()} with a column "t" containing
 t-statistics resulted from a degradation experiment. Default is the
 internal \code{qsvaR::degradation_tstats} from the package authors.}
 
diff --git a/man/select_transcripts.Rd b/man/select_transcripts.Rd
index cbbe671..1614fcb 100644
--- a/man/select_transcripts.Rd
+++ b/man/select_transcripts.Rd
@@ -8,11 +8,19 @@ select_transcripts(type = c("cell_component", "top1500", "standard"))
 }
 \arguments{
 \item{type}{A \code{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 \code{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
+\code{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.}
 }
 \value{
 A \code{character()} with the transcript IDs.
diff --git a/man/transcripts.Rd b/man/transcripts.Rd
index 1721a58..4b560fc 100644
--- a/man/transcripts.Rd
+++ b/man/transcripts.Rd
@@ -12,12 +12,20 @@ Each string is a GENCODE transcript IDs.
 transcripts
 }
 \description{
-An object storing three lists of transcripts each corresponding to a model used in the degradation experiment.
-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 \code{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.
+An object storing three lists of transcripts each corresponding to a model
+used in the degradation experiment. 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
+\code{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.
 }
 \seealso{
 \link{select_transcripts}