• Facets (new session)
• Description
• Metadata
• Settings
  • Rule: ActivityStreamsMapasEquivalentb3sb3sifpdbprdf-labelfacetshttp://dbpedia.org/resource/inference/rules/dbpedia#http://dbpedia.org/resource/inference/rules/opencyc#http://dbpedia.org/resource/inference/rules/umbel#http://dbpedia.org/resource/inference/rules/yago#http://dbpedia.org/schema/property_rules#http://www.ontologyportal.org/inference/rules/SUMO#http://www.ontologyportal.org/inference/rules/WordNet#http://www.w3.org/2002/07/owl#ldpoplwebskos-transurn:det:rdf:labelvirtrdf-labelvirtrdf-urlNone
    
  • Inverse Functional Properties: Disabled (fastest) Apply to subjects only Apply to objects only Apply to both subjects and objects
  • "Same As": Disabled (fastest) Apply to subjects only Apply to objects only Apply to both subjects and objects (recommended) Apply to subjects, objects and predicates (not recommended on big datasets) Apply to predicates only (special use cases only)

About: Elston–Stewart algorithm     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : yago:Rule105846932, within Data Space : dbpedia.org associated with source document(s)

Type: Thingsoftwareyago:WikicatStatisticalAlgorithmsyago:Abstraction100002137yago:Act100030358yago:Activity100407535yago:Algorithm105847438yago:Event100029378yago:Procedure101023820yago:PsychologicalFeature100023100yago:YagoPermanentlyLocatedEntityyago:Rule105846932 New Facet based on Instances of this Class

The Elston–Stewart algorithm is an algorithm for computing the likelihood of observed data on a pedigree assuming a general model under which specific genetic segregation, linkage and association models can be tested. It is due to Robert Elston and . It can handle relatively large pedigrees providing they are (almost) outbred. When used for linkage analysis its computation time is exponential in the number of markers, in contrast to the Lander-Green algorithm, which has computational time exponential in the number of pedigree members.