Back to search

Article

STELLAR: A flexible ensemble learning framework integrating rare variants to enhance polygenic risk prediction

2026-06-09

Abstract excerpt

Whole-exome and whole-genome sequencing technology has enabled the discovery of rare genetic variants associated with human health and diseases. However, existing statistical methods used for rare variant association testing are not well-suited for building genetic risk prediction models that jointly incorporate rare and common variants. We propose STELLAR, a flexible ensemble learning-based approach to compute ra...

Topics

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

Identifiers and source

Literature Corpus work
e6964336-badd-5637-8ad8-b253a7ade5ef
DOI
10.64898/2026.06.07.26355109
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.
STELLAR: A flexible ensemble learning framework integrating rare variants to enhance polygenic risk predictionDOI 10.64898/2026.06.07.26355109
Select a neighboring publication to make it the new centre.