
pmid: 16857857
We develop a new method for testing a portion of a tree (called a clade) based on multiple tests of many 4-taxon trees in this paper. This is particularly useful when the phylogenetic tree constructed by other methods have a clade that is difficult to explain from a biological point of view. The statement about the test of the clade can be made through the multiple P values from these individual tests. By controlling the familywise error rate or the false discovery rate (FDR), 4 different tree test methods are evaluated through simulation methods. It shows that the combination of the approximately unbiased (AU) test and the FDR-controlling procedure provides strong power along with reasonable type I error rate and less heavy computation.
Biometry, Chi-Square Distribution, Models, Genetic, Data Interpretation, Statistical, Databases, Genetic, Animals, Computer Simulation, Classification, Phylogeny
Biometry, Chi-Square Distribution, Models, Genetic, Data Interpretation, Statistical, Databases, Genetic, Animals, Computer Simulation, Classification, Phylogeny
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