title: Statistical Methods in Integrative Genomics.
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.
authors.affiliation: MRC Biostatistics Unit, Cambridge Institute of Public Health, University of Cambridge, CB2 0SR, United Kingdom.
authors.forename: Sylvia
authors.initials: S
authors.lastname: Richardson
authors.affiliation: Department of Biostatistics, University of Pittsburgh, Pittsburgh, PA 15261.
authors.forename: George C
authors.initials: GC
authors.lastname: Tseng
authors.affiliation: Department of Biostatistics, Department of Genetics, University of North Carolina, Chapel Hill, NC 27599; Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington 27516.
authors.forename: Wei
authors.initials: W
authors.lastname: Sun
keywords: genomics; horizontal data integration; integrative genomics; vertical data integration