Krajewski Paweł, Bocianowski Jan
Institute of Plant Genetics, Polish Academy of Sciences, Poznań, Poland.
J Appl Genet. 2002;43(3):269-78.
The paper shortly reviews statistical methods used in the area of DNA microarray studies. All stages of the experiment are taken into account: planning, data collection, data preprocessing, analysis and validation. Among the methods of data analysis, the algorithms for estimating differential expression, multivariate approaches, clustering methods, as well as classification and discrimination are reviewed. The need is stressed for routine statistical data processing protocols and for the search of links of microarray data analysis with quantitative genetic models.
本文简要回顾了DNA微阵列研究领域中使用的统计方法。考虑了实验的所有阶段：规划、数据收集、数据预处理、分析和验证。在数据分析方法中，对估计差异表达的算法、多变量方法、聚类方法以及分类和判别方法进行了综述。强调了常规统计数据处理协议以及寻找微阵列数据分析与定量遗传模型之间联系的必要性。
