| Literature DB >> 27482531 |
Sylvia Richardson1, George C Tseng2, Wei Sun3.
Abstract
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.Entities:
Keywords: genomics; horizontal data integration; integrative genomics; vertical data integration
Year: 2016 PMID: 27482531 PMCID: PMC4963036 DOI: 10.1146/annurev-statistics-041715-033506
Source DB: PubMed Journal: Annu Rev Stat Appl ISSN: 2326-8298 Impact factor: 5.810