A congruence index for testing topological similarity between trees

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A congruence index for testing topological similarity between trees

MOTIVATION Phylogenetic trees are omnipresent in evolutionary biology and the comparison of trees plays a central role there. Tree congruence statistics are based on the null hypothesis that two given trees are not more congruent (topologically similar) than expected by chance. Usually, one searches for the most parsimonious evolutionary scenario relating two trees and then one tests the null h...

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Comment on 'A congruence index for testing topological similarity between trees'

In response to comment on ‘A congruence index for testing topological similarity between trees’ Damien M. de Vienne1,∗, Tatiana Giraud1 and Olivier C. Martin2,3 1Univ Paris-Sud, Laboratoire de Recherche en Informatique, UMR8623, Orsay F-91405; CNRS, Orsay F-91405, 2Univ Paris-Sud, UMR8626, LPTMS, Orsay F-91405; CNRS, Orsay F-91405 and 3Univ Paris-Sud, UMR8120, Laboratoire de Génétique Végétale ...

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In response to comment on ‘A congruence index for testing topological similarity between trees’

In response to comment on ‘A congruence index for testing topological similarity between trees’ Damien M. de Vienne1,∗, Tatiana Giraud1 and Olivier C. Martin2,3 1Univ Paris-Sud, Laboratoire de Recherche en Informatique, UMR8623, Orsay F-91405; CNRS, Orsay F-91405, 2Univ Paris-Sud, UMR8626, LPTMS, Orsay F-91405; CNRS, Orsay F-91405 and 3Univ Paris-Sud, UMR8120, Laboratoire de Génétique Végétale ...

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Tucker’s Congruence Coefficient as a Meaningful Index of Factor Similarity

When Tucker’s congruence coefficient is used to assess the similarity of factor interpretations, it is desirable to have a critical congruence level less than unity that can be regarded as indicative of identity of the factors. The literature only reports rules of thumb. The present article repeats and broadens the approach used in the study by Haven and ten Berge (1977). It aims to find a crit...

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TOPOLOGICAL SIMILARITY OF L-RELATIONS

$L$-fuzzy rough sets are extensions of the classical rough sets by relaxing theequivalence relations to $L$-relations. The topological structures induced by$L$-fuzzy rough sets have opened up the way for applications of topological factsand methods in granular computing. In this paper, we firstly prove thateach arbitrary $L$-relation can generate an Alexandrov $L$-topology.Based on this fact, w...

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ژورنال

عنوان ژورنال: Bioinformatics

سال: 2007

ISSN: 1367-4803,1460-2059

DOI: 10.1093/bioinformatics/btm500