plot_predicted_expr: Scatter plot of predicted vs measured gene expression levels

In BPRMeth: Model higher-order methylation profiles

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

pred_obj	The output of the predict_expr function.
title	The title of the plot.
is_margins	Use specified margins or not.

Value

A ggplot2 object.

Author(s)

C.A.Kapourani [e-mail]

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)

BPRMeth documentation built on Nov. 8, 2020, 5:54 p.m.