slib.sml.sm.core.measures.graph.framework.dag
Class Sim_Framework_DAG_Set_Bader_2003

java.lang.Object
  extended by slib.sml.sm.core.measures.graph.framework.dag.Sim_Framework_DAG_Set_abstract
      extended by slib.sml.sm.core.measures.graph.framework.dag.Sim_Framework_DAG_Set_Bader_2003
All Implemented Interfaces:
Sim_Pairwise_DAG, Sim_Groupwise, Sim_Groupwise_Direct, Sim_Pairwise

public class Sim_Framework_DAG_Set_Bader_2003
extends Sim_Framework_DAG_Set_abstract

Bader G, Hogue C: An automated method for finding molecular complexes in large protein interaction networks. BMC bioinformatics 2003, 4:2. Cited by Lin C, Cho Y-rae, Hwang W-chang, Pei P, Zhang A: Clustering methods in protein-protein interaction network. in Knowledge Discovery in Bioinformatics: Techniques, Methods and Application 2006.

Author:
Sebastien Harispe

Constructor Summary
Sim_Framework_DAG_Set_Bader_2003()
           
 
Method Summary
 boolean isSymmetric()
           
 double sim(Set<org.openrdf.model.URI> setA, Set<org.openrdf.model.URI> setB, SMconf conf)
          This provide a way to compare the two sets of concepts which have been extended considering inference based on the taxonomic hierarchy.
 
Methods inherited from class slib.sml.sm.core.measures.graph.framework.dag.Sim_Framework_DAG_Set_abstract
sim, sim
 
Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
 

Constructor Detail

Sim_Framework_DAG_Set_Bader_2003

public Sim_Framework_DAG_Set_Bader_2003()
Method Detail

sim

public double sim(Set<org.openrdf.model.URI> setA,
                  Set<org.openrdf.model.URI> setB,
                  SMconf conf)
           throws slib.utils.ex.SLIB_Exception
Description copied from class: Sim_Framework_DAG_Set_abstract
This provide a way to compare the two sets of concepts which have been extended considering inference based on the taxonomic hierarchy. In other words, each vertex of the set already contains all its ancestors in the set.

Specified by:
sim in class Sim_Framework_DAG_Set_abstract
Parameters:
setA - the first set
setB - the second set
conf - the configuration to apply to compute the semantic similarity
Returns:
the similarity of the two sets.
Throws:
slib.utils.ex.SLIB_Exception

isSymmetric

public boolean isSymmetric()


Copyright © 2013. All Rights Reserved.