clustDiag: Perform consensus clustering diagnostics to determine optimal...

In matianzhou/CAMO: Perform congruent analysis among model organisms

Description

Perform consensus clustering diagnostics to determine optimal K for pathway clustering The clustDiag is function to perform consensus clustering diagnostics for pathway clustering. It will generate consensus CDF and delta area plot and saved to the folder named "clustDiag". These plots will help you determine the optimal number of clusters K for pathway clustering. Run this first before multiOutput when "clustPathway" output is chosen.

Usage

clustDiag(ARS_pathway)

Arguments

ARS_pathway:

a list of two data frames: pathway specific ARS values and their permuted p-value (pathway on rows, column being ARS value or the p-values).

Value

stored output in the folder named "clustDiag".

Examples

## Not run: 
#ARS_pathway from the multiARS step 
results <- clustDiag(ARS_pathway)

## End(Not run)

matianzhou/CAMO documentation built on May 21, 2019, 10:12 a.m.