Gene-Category Analysis
Gene-Category Analysis
复制标题
DOI：
10.1007/978-1-4939-3743-1_13
复制
发表时间：
2017-01-01
期刊：
影响因子：
--
通讯作者：
Bauer, Sebastian
中科院分区：
文献类型：
--
作者：
Bauer, Sebastian
基因类别分析是生物医学中一种重要的知识整合方法，它将基因本体论等知识库与基因或其产物列表相结合，这些基因或其产物通常是从湿实验室或合成实验中获得的高通量实验的结果。在本章中，我们将推动此类分析并描述基于费舍尔精确检验的常用变体。我们表明，这种方法在基因本体论的背景下存在一些用户应该意识到的问题。然后，我们描述了一些最新的算法，试图解决标准方法的一些缺点。
Gene-category analysis is one important knowledge integration approach in biomedical sciences that combines knowledge bases such as Gene Ontology with lists of genes or their products, which are often the result of high-throughput experiments, gained from either wet-lab or synthetic experiments. In this chapter, we will motivate this class of analyses and describe an often used variant that is based on Fisher's exact test. We show that this approach has some problems in the context of Gene Ontology of which users should be aware. We then describe some more recent algorithms that try to address some of the shortcomings of the standard approach.