plot_melissa_profiles: Plot predictive methylaation profiles

In Melissa: Bayesian clustering and imputationa of single cell methylomes

Description

This function plots the predictive distribution of the methylation profiles inferred using the Melissa model. Each colour corresponds to a different cluster.

Usage

plot_melissa_profiles(
  melissa_obj,
  region = 1,
  title = "Melissa profiles",
  x_axis = "genomic region",
  y_axis = "met level",
  x_labels = c("Upstream", "", "Centre", "", "Downstream"),
  ...
)

Arguments

melissa_obj	Clustered cell subtypes using Melissa inference functions.
region	Genomic region number.
title	Plot title
x_axis	x axis label
y_axis	x axis label
x_labels	x axis ticks labels
...	Additional parameters

Value

A ggplot2 object.

Author(s)

C.A.Kapourani [e-mail]

See Also

create_melissa_data_obj, melissa, filter_regions, eval_imputation_performance, eval_cluster_performance

Examples

# Extract synthetic data
dt <- melissa_synth_dt

# Create basis object from BPRMeth package
basis_obj <- BPRMeth::create_rbf_object(M = 3)

# Run Melissa
melissa_obj <- melissa(X = dt$met, K = 2, basis = basis_obj, vb_max_iter = 10,
   vb_init_nstart = 1, is_parallel = FALSE, is_verbose = FALSE)

gg <- plot_melissa_profiles(melissa_obj, region = 10)

Melissa documentation built on Nov. 8, 2020, 5:37 p.m.