DNA Segmentation as A Model Selection Process

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dc.creatorLi, Wentian
dc.date2001-04-05
dc.date.accessioned2026-07-07T05:45:40Z
dc.date.available2026-07-07T05:45:40Z
dc.descriptionPrevious divide-and-conquer segmentation analyses of DNA sequences do not provide a satisfactory stopping criterion for the recursion. This paper proposes that segmentation be considered as a model selection process. Using the tools in model selection, a limit for the stopping criterion on the relaxed end can be determined. The Bayesian information criterion, in particular, provides a much more stringent stopping criterion than what is currently used. Such a stringent criterion can be used to delineate larger DNA domains. A relationship between the stopping criterion and the average domain size is empirically determined, which may aid in the determination of isochore borders.
dc.description7 pages, 4 figures, Proceedings of the Fifth Annual International Conference of Computational Molecular Biology (RECOMB 2001), to appear
dc.identifierhttps://arxiv.org/abs/physics/0104027
dc.identifierhttp://arxiv.org/abs/physics/0104027
dc.identifierin RECOMB01: Proceedings of the Fifth Annual International Conference on Computational Biology, pp.201-210 (ACM Press, 2001)
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/84075
dc.subjectBiological Physics
dc.subjectData Analysis, Statistics and Probability
dc.subjectGenomics
dc.titleDNA Segmentation as A Model Selection Process
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