Commit 5de1349c authored by Ustjanzew's avatar Ustjanzew
Browse files

not needed elements

parent a3fe139e
***
```{r, eval=is_shiny}
# selection field for x
if ({{ env_id }}$x_selection){
selectInput("select_x_{{ env_id }}", label = "Select data for x axis:",
choices = names({{ env_id }}$x))
}
# selection field for y
if ({{ env_id }}$y_selection){
selectInput("select_y_{{ env_id }}", label = "Select data for y axis:",
choices = names({{ env_id }}$y))
}
# selection field for color_by
if ({{ env_id }}$color_selection){
selectInput("select_color_{{ env_id }}", label = "Select experimental factor for coloring:",
choices = names({{ env_id }}$color_by))
}
```
Plot description:
Sequencing is called *saturated* when generating more sequencing output from a cDNA library does not substantially increase the number of detected features in a sample. Since the number of detected features can act as a technical confounder, and thereby drive substructure in the data, it is advisable to aim for a saturated sequencing by either adding more sequencing output or decreasing the number of samples until saturation is achieved. [@zhang_one_2018] gives advise on how to choose the optimal cell number given a fixed sequencing budget
***
```{r, eval=is_shiny}
# selection field for x
if ({{ env_id }}$x_selection){
selectInput("select_x_{{ env_id }}", label = "Select data for x axis:",
choices = names({{ env_id }}$x))
}
# selection field for y
if ({{ env_id }}$y_selection){
selectInput("select_y_{{ env_id }}", label = "Select data for y axis:",
choices = names({{ env_id }}$y))
}
# selection field for color_by
if ({{ env_id }}$color_selection){
selectInput("select_color_{{ env_id }}", label = "Select experimental factor for coloring:",
choices = names({{ env_id }}$color_by))
}
```
Plot description:
Sequencing is called *saturated* when generating more sequencing output from a cDNA library does not substantially increase the number of detected features in a sample. Since the number of detected features can act as a technical confounder, and thereby drive substructure in the data, it is advisable to aim for a saturated sequencing by either adding more sequencing output or decreasing the number of samples until saturation is achieved. [@zhang_one_2018] gives advise on how to choose the optimal cell number given a fixed sequencing budget
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