Clust_Valid: Cluster Evaluation by External Measures

View source: R/Clust_Valid.R

Clust_ValidR Documentation

Cluster Evaluation by External Measures

Description

This function evaluate the quality of clusters by comparing clustering-derived partitions to known labels (i.e., CORUM complexes) and assess the similarity between them using quality measures including overlap score (O), sensitivity (Sn), clustering-wise positive predictive value (PPV), geometric accuracy (Acc), and maximum matching ratio (MMR).

Usage

Clust_Valid(predcpx, refcpx)

Arguments

predcpx

A list containing predicted complexes.

refcpx

A list containing reference complexes (i.e., CORUM complexes).

Details

Clust_Valid

Value

A list containing the numerical values for each evaluation metrics.

Author(s)

Matineh Rahmatbakhsh, matinerb.94@gmail.com

Examples

# Load known reference complexes
data(refcpx)
# Select subset of complexes to be used as an instance sets for predicted
# complexes
predcpx <- refcpx[5:15]
Eval_result <- Clust_Valid(predcpx,refcpx)

MACP documentation built on March 7, 2023, 7:42 p.m.