Back to search

Article

LFMM 2.0: Latent factor models for confounder adjustment in genome and epigenome-wide association studies

2018-01-30

Abstract excerpt

<h4>Motivation</h4> Genome-wide, epigenome-wide and gene-environment association studies are plagued with the problems of confounding and causality. Although those problems have received considerable attention in each application field, no consensus have emerged on which approaches are the most appropriate to solve this problem. Current methods use approximate heuristics for estimating confounders, and often igno...

Topics

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

Identifiers and source

Literature Corpus work
f72bacbb-3050-5d28-8539-2cda90dfc04e
DOI
10.1101/255893
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.
LFMM 2.0: Latent factor models for confounder adjustment in genome and epigenome-wide association studiesDOI 10.1101/255893
Select a neighboring publication to make it the new centre.