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Statistical Methods in Integrative Genomics.
Annual Review of Statistics and Its Application ( IF 7.4 ) Pub Date : 2016-08-03 , DOI: 10.1146/annurev-statistics-041715-033506
Sylvia Richardson 1 , George C Tseng 2 , Wei Sun 3
Affiliation  

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.

中文翻译:

综合基因组学中的统计方法。

整合基因组学中的统计方法旨在通过共同分析多种类型的基因组数据(垂直整合)或在多个研究中汇总相同类型的数据(水平整合)来回答重要的生物学问题。在本文中,我们介绍了不同类型的基因组数据和数据资源,然后回顾了综合基因组学的统计方法,重点介绍了这些方法的动机和原理。我们总结了一些总结点和未来的研究方向。
更新日期:2019-11-01
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