slib.sml.sm.core.measures.graph.groupwise.dag
Class Sim_groupwise_DAG_LP
java.lang.Object
slib.sml.sm.core.measures.graph.groupwise.dag.Sim_groupwise_DAG_abstract
slib.sml.sm.core.measures.graph.groupwise.dag.Sim_groupwise_DAG_LP
- All Implemented Interfaces:
- Sim_Groupwise, Sim_Groupwise_Direct
public class Sim_groupwise_DAG_LP
- extends Sim_groupwise_DAG_abstract
Gentleman R: Visualizing and distances using GO. Retrieved Jan. 10th 2007.
http://www.bioconductor.org/packages/release/bioc/vignettes/GOstats/inst/doc/GOvis.pdf
Extract : For simLP the similarity measure is the depth of the longest shared
path from the root node. Two genes that are both quite specific and similar
should have long shared paths, while those that have less in common should
have relatively short shared paths.
We understand the depth of the deepest lca of each entity couples.
- Author:
- Sébastien Harispe
Method Summary |
double |
sim(Set<org.openrdf.model.URI> setA,
Set<org.openrdf.model.URI> setB,
SM_Engine rc,
SMconf conf)
Compute the similarity between the given sets of concepts considering a
particular configuration. |
Methods inherited from class java.lang.Object |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Sim_groupwise_DAG_LP
public Sim_groupwise_DAG_LP()
sim
public double sim(Set<org.openrdf.model.URI> setA,
Set<org.openrdf.model.URI> setB,
SM_Engine rc,
SMconf conf)
throws slib.utils.ex.SLIB_Exception
- Description copied from interface:
Sim_Groupwise_Direct
- Compute the similarity between the given sets of concepts considering a
particular configuration.
- Parameters:
setA
- the first set of verticessetB
- the second set of verticesrc
- the engine used to access specific information used by the
measuresconf
- the groupwise configuration.
- Returns:
- the semantic similarity of the pair of groups of concepts
- Throws:
slib.utils.ex.SLIB_Exception
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