Back to search

Article

Powerful tests for multi-marker association analysis using ensemble learning

2014-05-23

Abstract excerpt

<h4>ABSTRACT</h4> Multi-marker approaches are currently gaining a lot of interest in genome wide association studies and can enhance power to detect new associations under certain conditions. Gene and pathway based association tests are increasingly being viewed as useful complements to the more widely used single marker association analysis which have successfully uncovered numerous disease variants. A major dra...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
8e141fdf-5563-57e2-aa48-a90f922cafc1
DOI
10.1101/005405
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Powerful tests for multi-marker association analysis using ensemble learningDOI 10.1101/005405
Select a neighboring publication to make it the new centre.