Gene-set approach for expression pattern analysis
Gene-set approach for expression pattern analysis
复制标题
DOI：
10.1093/bib/bbn001
复制
发表时间：
2008-05-01
影响因子：
9.5
通讯作者：
Kim, Seon-Young
中科院分区：
文献类型：
--
作者：
Nam, Dougu;Kim, Seon-Young
最近开发的基因集分析方法评估的差异表达模式的基因组，而不是个别基因。这种方法特别针对基因组，其成分显示出微妙但协调的表达变化，这可能无法通过通常的单个基因分析检测到。该方法在从表达数据中获取新信息方面非常成功，近年来已经深入开发了许多方法和工具。我们回顾了这些方法和目前可用的工具，根据所采用的统计方法对它们进行分类，并讨论了它们的优缺点。我们还讨论了这些方法的几个有趣的扩展。
Recently developed gene set analysis methods evaluate differential expression patterns of gene groups instead of those of individual genes. This approach especially targets gene groups whose constituents show subtle but coordinated expression changes, which might not be detected by the usual individual gene analysis. The approach has been quite successful in deriving new information from expression data, and a number of methods and tools have been developed intensively in recent years. We review those methods and currently available tools, classify them according to the statistical methods employed, and discuss their pros and cons. We also discuss several interesting extensions to the methods.