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Change-point analysis of paired allele-specific copy number variation data.


ABSTRACT: The recent genome-wide allele-specific copy number variation data enable us to explore two types of genomic information including chromosomal genotype variations as well as DNA copy number variations. For a cancer study, it is common to collect data for paired normal and tumor samples. Then, two types of paired data can be obtained to study a disease subject. However, there is a lack of methods for a simultaneous analysis of these four sequences of data. In this study, we propose a statistical framework based on the change-point analysis approach. The validity and usefulness of our proposed statistical framework are demonstrated through the simulation studies and applications based on an experimental data set.

SUBMITTER: Lai Y 

PROVIDER: S-EPMC3375654 | biostudies-literature | 2012 Jun

REPOSITORIES: biostudies-literature

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Change-point analysis of paired allele-specific copy number variation data.

Lai Yinglei Y  

Journal of computational biology : a journal of computational molecular cell biology 20120601 6


The recent genome-wide allele-specific copy number variation data enable us to explore two types of genomic information including chromosomal genotype variations as well as DNA copy number variations. For a cancer study, it is common to collect data for paired normal and tumor samples. Then, two types of paired data can be obtained to study a disease subject. However, there is a lack of methods for a simultaneous analysis of these four sequences of data. In this study, we propose a statistical f  ...[more]

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