Work

Statistical Methods in Integrative Genomics

Year: 2020

Type: article

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.

Source: Carolina Digital Repository (University of North Carolina at Chapel Hill)

DOI: 10.17615/edfs-nc88

Authors: Tseng, George C., Richardson, Sylvia, Sun, Wei

Institution: University of North Carolina at Chapel Hill

Language: English

Topic: Bioinformatics and Genomic Networks

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: green

OpenAlex ID: W4299323121

FWCI:

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