Statistical Methods in Integrative Genomics.
Statistical Methods in Integrative Genomics.
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DOI：
10.1146/annurev-statistics-041715-033506
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发表时间：
2016-06
影响因子：
7.9
通讯作者：
Sun W
中科院分区：
文献类型：
--
作者：
Richardson S;Tseng GC;Sun W
整合基因组学的统计方法旨在通过联合分析多种类型的基因组数据（垂直整合）或聚合多个研究中的相同类型的数据（水平整合）来回答重要的生物学问题。本文介绍了不同类型的基因组数据和数据资源，然后对整合基因组学的统计方法进行了综述，重点介绍了这些方法的动机和基本原理。最后，对本文的研究进行了总结和展望。
Statistical methods in integrative genomics aim to answer important biology questions by jointly analyzing multiple types of genomic data (vertical integration) or aggregating the same type of data across multiple studies (horizontal integration). In this article, we introduce different types of genomic data and data resources, and then review statistical methods of integrative genomics, with emphasis on the motivation and rationale of these methods. We conclude with some summary points and future research directions.