plotGenePathway: Plot gene expression or enrichment scores

In montilab/K2Taxonomer: Creating annotated submodules of high-throughput data through recursive partitioning

Plot gene expression or enrichment scores

Description

This function creates a plot for visualizing gene expression between partitions, either as a static plot or interactive with plotly.

Usage

plotGenePathway(
  K2res,
  feature,
  node,
  type = c("eMatDS", "eMat", "gMat"),
  use_plotly = TRUE,
  subsample = TRUE
)

Arguments

K2res	A K2 class object.
node	Character. A specific node identifier in K2res object.
type	Character. One of 'eMatDS' (default), 'eMat', or 'gMat'.
use_plotly	Logical. Whether to create a static plot, FALSE, or interactive plot, TRUE (default).
subsample	Logical. Whether to downsample the output object in order to save memory. This minimal impact on plot visual. Default is TRUE.
features	Character. Either a gene or gene set identifier.

Value

Either a ggplot or ggplotly object.

References

\insertRef

reed_2020K2Taxonomer

montilab/K2Taxonomer documentation built on April 5, 2025, 3:58 a.m.