Back to search

Article

PaIRKAT: A pathway integrated regression-based kernel association test with applications to metabolomics and COPD phenotypes

2021-04-26

Abstract excerpt

High-throughput data such as metabolomics, genomics, transcriptomics, and proteomics have become familiar data types within the “-omics” family. For this work, we focus on subsets that interact with one another and represent these “pathways” as graphs. Observed pathways often have disjoint components, i.e. nodes or sets of nodes (metabolites, etc.) not connected to any other within the pathway which notably lessen...

Topics

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

Identifiers and source

Literature Corpus work
1e4c1bb7-1c2f-5f16-9442-c26be03fa48f
DOI
10.1101/2021.04.23.440821
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.
PaIRKAT: A pathway integrated regression-based kernel association test with applications to metabolomics and COPD phenotypesDOI 10.1101/2021.04.23.440821
Select a neighboring publication to make it the new centre.