Back to search

Article

Statistical association networks as complex phenotypes : new methods and applications

2013-01-01

Abstract excerpt

Recent advances in ’omics technologies and the development of new computational techniques have greatly contributed to the identification of factors influencing the onset and progression of many common diseases. Yet, despite this great success, it is unlikely that the independent analysis of these data will elucidate the complex web of mechanisms involved in disease development. To enhance our knowledge of disease...

Topics

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

Identifiers and source

Literature Corpus work
bf432832-17c9-596f-8832-3eb95f234007
DOI
10.25560/18678
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.
Statistical association networks as complex phenotypes : new methods and applicationsDOI 10.25560/18678
Select a neighboring publication to make it the new centre.