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dc.contributor.authorShi, Xiaofei.en_US
dc.date.accessioned2014-10-21T12:36:44Z
dc.date.available2006
dc.date.issued2006en_US
dc.identifier.otherAAINR19595en_US
dc.identifier.urihttp://hdl.handle.net/10222/54833
dc.descriptionWe focus our attention on problems related to phylogenetic trees which present the evolutionary history of life. It is composed by three parts, the first two for phylogenetic inferences and the third one for pattern classification.en_US
dc.descriptionIn the first part, six existing and two new proposed procedures for constructing confidence regions of the true evolutionary tree are evaluated both in terms of coverage and size. We compare them on simulated trees and give reference about their performances under different conditions.en_US
dc.descriptionThen we develop a new method for testing a portion of a tree (called a split) based on multiple tests of many 4-taxon trees in the second part. This is particularly useful when the phylogenetic tree constructed by other methods has a split which is difficult to explain from a biological point of view. A combination of the test methods and the methods dealing with the P-values of these 4-taxon trees is recommended, which provides strong power and reasonable familywise error rate.en_US
dc.descriptionThe last section is about clustering genes based on their phylogenetic signals. Evolutionary trees can be constructed from a number of different genes. But different genes may have different underlying evolutionary histories. We propose two clustering methods to obtain the subsets of the genes with the same or similar evolutionary process, and compare their performance with a classical clustering method based on simulated data.en_US
dc.descriptionThesis (Ph.D.)--Dalhousie University (Canada), 2006.en_US
dc.languageengen_US
dc.publisherDalhousie Universityen_US
dc.publisheren_US
dc.subjectBiology, Biostatistics.en_US
dc.subjectStatistics.en_US
dc.subjectBiology, Bioinformatics.en_US
dc.titlePhylogenetic inferences and pattern classification.en_US
dc.typetexten_US
dc.contributor.degreePh.D.en_US
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