LAUSR.org creates dashboard-style pages of related content for over 1.5 million academic articles. Sign Up to like articles & get recommendations!

Multiple testing approaches for hypotheses in integrative genomics

Photo by mykjohnson from unsplash

With the explosion in available technologies for measuring many biological phenomena on a large scale, there have been concerted efforts in a variety of biological and medical settings to perform… Click to show full abstract

With the explosion in available technologies for measuring many biological phenomena on a large scale, there have been concerted efforts in a variety of biological and medical settings to perform systems biology analyses. A crucial question then becomes how to combine data across the various large‐scale data types. This article reviews the data types that can be considered and treats so‐called horizontal and vertical integration analyses. This article focuses on the use of multiple testing approaches in order to perform integrative analyses. Two questions help to clarify the class of procedures that should be used. The first deals with whether a horizontal or vertical integration is being performed. The second is if there is a priority for a given platform. Based on the answers to these questions, we review various methodologies that could be applied.

Keywords: hypotheses integrative; integrative genomics; testing approaches; approaches hypotheses; multiple testing; biology

Journal Title: Wiley Interdisciplinary Reviews: Computational Statistics
Year Published: 2019

Link to full text (if available)


Share on Social Media:                               Sign Up to like & get
recommendations!

Related content

More Information              News              Social Media              Video              Recommended



                Click one of the above tabs to view related content.