☆ 4.3 Review Book Chapter

Statistical Methods in Integrative Genomics

ANNUAL REVIEW OF STATISTICS AND ITS APPLICATION, VOL 3 (2016)

Journal

ANNUAL REVIEW OF STATISTICS AND ITS APPLICATION, VOL 3

Volume 3, Issue -, Pages 181-209

Publisher

ANNUAL REVIEWS

DOI: 10.1146/annurev-statistics-041715-033506

Keywords

genomics; integrative genomics; horizontal data integration; vertical data integration

Categories

Mathematics, Interdisciplinary Applications Statistics & Probability

Funding

NATIONAL CANCER INSTITUTE [R01CA190766, P30CA015704] Funding Source: NIH RePORTER
NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES [R01GM105785] Funding Source: NIH RePORTER
MRC [MC_UP_0801/1, MC_UU_00002/10] Funding Source: UKRI
Medical Research Council [MC_UU_00002/10, MC_UP_0801/1] Funding Source: Medline
NCI NIH HHS [R01 CA190766, P30 CA015704] Funding Source: Medline
NIGMS NIH HHS [R01 GM105785] Funding Source: Medline

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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 we 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.

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