Learn R Programming

DrDimont (version 0.1.4)

individual_graphs_example: Individual graphs

Description

Exemplary intermediate pipeline output: Individual graphs example data built by generate_individual_graphs. Graphs were created from correlation_matrices_example and reduced by the `pickHardThreshold` reduction method. Used settings were:

Usage

individual_graphs_example

Arguments

Format

A named list with 2 items.

graphs

A named list with two groups.

mrna

Graph

protein

Graph

phosphosite

Graph

metabolite

Graph

annotations

A named list containing data frames of mappings of assigned node IDs to the user-provided component identifiers for nodes in `groupA` or `groupB` and all nodes

mrna

Data frame

protein

Data frame

phosphosite

Data frame

metabolite

Data frame

Details

settings <- drdimont_settings( reduction_method=list(default="pickHardThreshold"), r_squared=list( default=0.8, groupA=list(metabolite=0.45), groupB=list(metabolite=0.15)), cut_vector=list( default=seq(0.3, 0.7, 0.01), metabolite=seq(0.1, 0.65, 0.01)))

A subset of the original data by Krug et al. (2020) and randomly sampled metabolite data from layers_example was used to generate the correlation matrices and individual graphs. They were created from data stratified by estrogen receptor (ER) status: `groupA` contains data of ER+ patients and `groupB` of ER- patients.