MACP (version 0.1.0)

Clust_Valid: 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)

Value

A list containing the numerical values for each evaluation metrics.

Arguments

predcpx

A list containing predicted complexes.

refcpx

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

Author

Matineh Rahmatbakhsh,

Details

Clust_Valid

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)