Change-point analysis of paired allele-specific copy number variation data.
Change-point analysis of paired allele-specific copy number variation data.
复制标题
配对等位基因特异性拷贝数变异数据的变化点分析。
DOI：
10.1089/cmb.2012.0031
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发表时间：
2012
期刊：
影响因子：
--
通讯作者：
Lai,Yinglei
中科院分区：
文献类型：
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作者：
Lai,Yinglei
最近的全基因组等位基因特异性拷贝数变异数据使我们能够探索两种类型的基因组信息，包括染色体基因型变异以及DNA拷贝数变异。对于癌症研究，通常收集配对的正常和肿瘤样本的数据。然后，可以获得两种类型的配对数据以研究疾病对象。然而，缺乏同时分析这四个数据序列的方法。在本研究中，我们提出了一个基于变点分析方法的统计框架。我们提出的统计框架的有效性和实用性证明了通过模拟研究和应用的基础上的实验数据集。
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.