Preprocessing and downstream analysis of microarray DNA copy number profiles
Preprocessing and downstream analysis of microarray DNA copy number profiles
复制标题
DOI：
10.1093/bib/bbq004
复制
发表时间：
2011-01-01
影响因子：
9.5
通讯作者：
Ylstra, Bauke
中科院分区：
文献类型：
--
作者：
van de Wiel, Mark A.;Picard, Franck;Ylstra, Bauke
DNA拷贝数谱的分析需要根据这些数据的特定性质定制的方法。在过去的五年中，可用的数据分析方法的数量有了巨大的增长。我们讨论了DNA拷贝数数据的典型特征，通过微阵列技术测量，并回顾了大量的文献预处理方法，如分割和调用。随后，重点缩小到DNA拷贝数在癌症中的应用，特别是多样本数据集的几个下游分析，如测试，聚类和分类。最后，我们展望未来：我们应该准备什么，哪些与方法学有关的主题在不久的将来可能值得关注？
Analysis of DNA copy number profiles requires methods tailored to the specific nature of these data. The number of available data analysis methods has grown enormously in the last 5 years. We discuss the typical characteristics of DNA copy number data, as measured by microarray technology and review the extensive literature on preprocessing methods such as segmentation and calling. Subsequently, the focus narrows to applications of DNA copy number in cancer, in particular, several downstream analyses of multi-sample data sets such as testing, clustering and classification. Finally, we look ahead: what should we prepare for and which methodology-related topics may deserve attention in the near future?.