Back to search

Article

Improved prediction of blood biomarkers using deep learning

2022-11-01

Abstract excerpt

<h4>ABSTRACT</h4> Blood and urine biomarkers are an essential part of modern medicine, not only for diagnosis, but also for their direct influence on disease. Many biomarkers have a genetic component, and they have been studied extensively with genome-wide association studies (GWAS) and methods that compute polygenic scores (PGSs). However, these methods generally assume both an additive allelic model and an addit...

Topics

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

Identifiers and source

Literature Corpus work
ca18afe9-e135-5633-a149-f40a66190da6
DOI
10.1101/2022.10.27.22281549
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.
Improved prediction of blood biomarkers using deep learningDOI 10.1101/2022.10.27.22281549
Select a neighboring publication to make it the new centre.