Back to search

Article

Correlation guided Network Integration (CoNI) reveals novel genetic regulators of hepatic metabolism

2020-01-30

Abstract excerpt

<h4>ABSTRACT</h4> The steadily increasing amount of newly generated omics data of various types from genomics to metabolomics is a chance and a challenge to systems biology. To fully use its potential, one key is the meaningful integration of different types of omics. We here present a fully unsupervised and versatile correlation-based method, termed Correlation guided Network Integration (CoNI), to integrate mul...

Topics

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

Identifiers and source

Literature Corpus work
a91c88a7-7d3a-55fa-a02e-ac628880c8ef
DOI
10.1101/2020.01.29.924944
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.
Correlation guided Network Integration (CoNI) reveals novel genetic regulators of hepatic metabolismDOI 10.1101/2020.01.29.924944
Select a neighboring publication to make it the new centre.