Back to search

Article

DeepPerVar: a multimodal deep learning framework for functional interpretation of genetic variants in personal genome

2022-04-11

Abstract excerpt

<h4>Motivation</h4> Understanding the functional consequence of genetic variants, especially the noncoding ones, is important but particularly challenging. Genome-wide association studies or quantitative trait locus analyses may be subject to limited statistical power and linkage disequilibrium, and thus are less optimal to pinpoint the causal variants. Moreover, most existing machine learning approaches, which e...

Topics

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

Identifiers and source

Literature Corpus work
c59d138a-32a0-5e65-ac9c-8ad5908003b2
DOI
10.1101/2022.04.10.487809
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.
DeepPerVar: a multimodal deep learning framework for functional interpretation of genetic variants in personal genomeDOI 10.1101/2022.04.10.487809
Select a neighboring publication to make it the new centre.