Back to search

Article

A machine learning-based SNP-set analysis approach for identifying disease-associated susceptibility loci

2022-04-28

Abstract excerpt

<h4>Introduction</h4> Identifying disease-associated susceptibility loci is one of the most pressing and crucial challenges in modeling complex diseases. Existing approaches to biomarker discovery are subject to several limitations including underpowered detection, neglect for variant interactions, and restrictive dependence on prior biological knowledge. Addressing these challenges necessitates more ingenious way...

Topics

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

Identifiers and source

Literature Corpus work
1070b8c9-89ed-5928-aa04-18b28fa0d129
DOI
10.1101/2022.04.25.22274157
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.
A machine learning-based SNP-set analysis approach for identifying disease-associated susceptibility lociDOI 10.1101/2022.04.25.22274157
Select a neighboring publication to make it the new centre.