
Plot UMAP side-by-side for biomarker and viability
Source:R/plot.R
plot_tsne_biomarker_viability.RdCreates a side-by-side comparison of biomarker expression and predicted viability in UMAP space. Useful for visualizing correlation between marker and response.
Usage
plot_tsne_biomarker_viability(
tsne_data,
biomarker_var = "biomarker_scaled",
viability_var = "viability_scaled",
biomarker_label = "Biomarker Exp",
viability_label = "Drug Viability",
nrow = 1,
base_size = 8
)Arguments
- tsne_data
Data frame with X, Y coordinates and both biomarker/viability columns.
- biomarker_var
Character. Column name for biomarker expression. Default = "biomarker_scaled".
- viability_var
Character. Column name for viability values. Default = "viability_scaled".
- biomarker_label
Character. Legend label for biomarker. Default = "Biomarker Exp".
- viability_label
Character. Legend label for viability. Default = "Drug Viability".
- nrow
Integer. Number of rows in arrangement. Default = 1.
- base_size
Numeric. Base font size. Default = 8.
Examples
if (FALSE) { # \dontrun{
tsne_data <- data.frame(
X = lung_tSNE$X,
Y = lung_tSNE$Y,
biomarker_scaled = range01(rank(MDM2_expression)),
viability_scaled = range01(rank(-viability_pred))
)
plot_tsne_biomarker_viability(tsne_data)
} # }