TreeDT: tree pattern mining for gene mapping

We describe TreeDT, a novel association-based gene mapping method. Given a set of disease-associated haplotypes and a set of control haplotypes, TreeDT predicts likely locations of a disease susceptibility gene. TreeDT extracts, essentially in the form of haplotype trees, information about historica...

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Veröffentlicht in:	IEEE/ACM transactions on computational biology and bioinformatics Jg. 3; H. 2; S. 174 - 185
Hauptverfasser:	Sevon, P., Toivonen, H., Ollikainen, V.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.04.2006 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithm design and analysis Algorithms Biological cells Biology and genetics Chromosome mapping Chromosome Mapping - methods Chromosomes Computational Biology - methods Computer Simulation Data mining Diabetes Mellitus, Type 1 - genetics Diseases Genetic Predisposition to Disease - genetics Genetics Haplotypes Haplotypes - genetics History Humans Linkage Disequilibrium - genetics nonnumerical algorithms and problems nonparametric statistics Pedigree Performance analysis Performance evaluation Recombination, Genetic - genetics Statistics, Nonparametric Studies Testing Trees
ISSN:	1545-5963, 1557-9964
Online-Zugang:	Volltext
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