Scatter plot of predicted vs measured gene expression levels

Description

plot_predicted_expr creates a scatter plot of predicted gene expression values on the x-axis versus the measured gene expression values on the y-axis.

Usage

plot_predicted_expr(pred_obj, title = "Predicted expression",
  is_margins = FALSE)

Arguments

Value

A ggplot2 object.

Author(s)

C.A.Kapourani C.A.Kapourani@ed.ac.uk

See Also

plot_infer_profiles, plot_cluster_profiles, boxplot_cluster_expr

Examples

# Fit methylation profiles using 5 RBFs
basis <- create_rbf_object(M = 5)
prof <- infer_profiles_vb(X = encode_met$met, model = "binomial",
    basis = basis, is_parallel = FALSE, vb_max_iter = 5)
# Predict expression
pred_obj <- predict_expr(prof_obj = prof, expr = encode_expr,
  anno = encode_met$anno, model_name = "lm", is_summary = FALSE)
# Create plot
g <- plot_predicted_expr(pred_obj = pred_obj)