Back to search

Article

Explainable deep transfer learning model for disease risk prediction using high-dimensional genomic data

2022-01-29

Abstract excerpt

Building an accurate disease risk prediction model is an essential step in the modern quest for precision medicine. While high-dimensional genomic data provides valuable data resources for the investigations of disease risk, their huge amount of noise and complex relationships between predictors and outcomes have brought tremendous analytical challenges. Deep learning model is the state-of-the-art methods for many...

Topics

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

Identifiers and source

Literature Corpus work
f0e0e72e-5b45-5828-865f-6b356c07736a
DOI
10.1101/2022.01.27.22269862
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.
Explainable deep transfer learning model for disease risk prediction using high-dimensional genomic dataDOI 10.1101/2022.01.27.22269862
Select a neighboring publication to make it the new centre.