Department of Epidemiology & Biostatistics, VU University Medical Center, Amsterdam, The Netherlands.
Brief Bioinform. 2011 Jan;12(1):10-21. doi: 10.1093/bib/bbq004. Epub 2010 Feb 19.
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?
分析 DNA 拷贝数谱需要针对这些数据的特定性质量身定制的方法。在过去的 5 年中，可用的数据分析方法数量大大增加。我们讨论了通过微阵列技术测量的 DNA 拷贝数数据的典型特征，并回顾了有关预处理方法（如分割和调用）的广泛文献。随后，重点缩小到 DNA 拷贝数在癌症中的应用，特别是对多样本数据集（如测试、聚类和分类）的几种下游分析。最后，我们展望未来：我们应该为哪些方面做好准备，以及哪些与方法学相关的主题可能在不久的将来值得关注？
