PlotSensitiveSynergy: Plot Sensitive-Synergy Plot for All the Combinations in the...
In synergyfinder: Calculate and Visualize Synergy Scores for Drug Combinations

Description Usage Arguments Value Author(s) Examples

This function will generate a scatter plot for all the combinations in the input data. The x-axis is the Combination Sensitive score (CSS).

PlotSensitiveSynergy(
  data,
  plot_synergy,
  point_color = "#2D72AD",
  point_size = 1,
  point_label_color = "#2D72AD",
  show_labels = FALSE,
  plot_title = NULL,
  dynamic = FALSE,
  label_size = 10
)

`data`	A list object has been processed by functions: `ReshapeData`, `CalculateSynergy`, and `CalculateSensitivity`.
`plot_synergy`	A character value. It indicates the synergy score for visualization. The available values are: "ZIP", "HSA", Bliss", "Leowe".
`point_color`	An R color value. It indicates the color for the points.
`point_size`	A numeric value. It indicates the size of points. The unit is "mm"
`point_label_color`	An R color value. It indicates the color for the label of data points.
`show_labels`	A logic value. It indicates whether to show the labels along with points or not.
`plot_title`	A character value. It specifies the plot title. If it is `NULL`, the function will automatically generate a title.
`dynamic`	A logical value. If it is `TRUE`, this function will use plot_ly to generate an interactive plot. If it is `FALSE`, this function will use wireframe to generate a static plot.
`label_size`	A numeric value. It controls the size of the labels in "pt"

A ggplot object, while dynamic = FALSE. A plotly object, while dynamic = TRUE.

Shuyu Zheng shuyu.zheng@helsinki.fi
Jing Tang jing.tang@helsinki.fi

data("mathews_screening_data")
data <- ReshapeData(mathews_screening_data)
data <- CalculateSynergy(data, method = c("ZIP"))
data <- CalculateSensitivity(data)
PlotSensitiveSynergy(data, plot_synergy = "ZIP")