Back to search

Article

Deep transfer learning provides a <i>Pareto</i> improvement for multi-ancestral clinico-genomic prediction of diseases

2022-09-23

Abstract excerpt

Accurate genomic predisposition assessment is essential for the prevention and early detection of diseases. Polygenic scores and machine learning models have been developed for disease prediction based on genetic variants and other risk factors. However, over 80% of existing genomic data were acquired from individuals of European descent. As a result, clinico-genomic risk prediction is less accurate for non-Europe...

Topics

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

Identifiers and source

Literature Corpus work
158fb149-2ca8-5c90-8eee-6196e4bac3f0
DOI
10.1101/2022.09.22.509055
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.
Deep transfer learning provides a <i>Pareto</i> improvement for multi-ancestral clinico-genomic prediction of diseasesDOI 10.1101/2022.09.22.509055
Select a neighboring publication to make it the new centre.