CoNI0.1.0 package

Table VertexClass pairs of shared Edge Features

Correlation guided Network Integration

Number lipid features per class

Vertex-class pairs profile of one shared edge feature

Vertex-class pairs profile of shared features

Stacked Global Barplot (One treatment)

Bipartite Network

Bipartite Table

Delete intermediary files

Check if files exist

Stacked Global Barplot Side-by-side (two treatments)

Get vertexes for edge feature

Vertex Class profile per edge feature (one treatment)

Find local controlling features

Flatten

Create network

Low variance features

Get class rgb color

Assing Colors to Class

Number Vertex features per class for every shared edge feature

Output directory

Check previous files

Check input parameters

Split function

Compare sample names

Compare triplets

Network Statistics

Get colors

Correlation vs Partial correlation

Pairwise correlations

Significant correlations 2 Df

Split dataset

Table local controlling edge features and vertex pairs

Linker Features by magnitude of effect

Write table

Vertex-Class profile per edge feature Side-by-Side (two treatments)

Labels to colors

Merge Files.