correlation_analysis: Generating a correlation matrix of pathways and TFs

In zcollest/scRegNetwrapper: Wrapper functions for single cell regulatory network analysis (DoRothEA, PROGENy, pySCENIC) as well as tools for downstream analysis and method comparisons.

Description

Takes cell-wise data from the 'scores_handling' functions and generates a correlation matrix. Method argument refers to correlation methods with respect to the corrplot package.

Usage

correlation_analysis(
  tf_data,
  method = "pearson",
  pathway_data,
  render_plot = TRUE,
  return_corr_data = FALSE
)

Arguments

tf_data	transcription factor data by cell
method	correlation method, default = "pearson"
pathway_data	pathway data by cell
render_plot	render plot? default = TRUE
return_corr_data	return the correlation data? default = FALSE

Examples

correlation_analysis(tf_data_bycell, pathway_data_bycell, return_corr_data=FALSE, render_plot=TRUE)

zcollest/scRegNetwrapper documentation built on Dec. 23, 2021, 9:14 p.m.