Back to search

Article

Large-scale clinical interpretation of genetic variants using evolutionary data and deep learning

2020-12-22

Abstract excerpt

Quantifying the pathogenicity of protein variants in human disease-related genes would have a profound impact on clinical decisions, yet the overwhelming majority (over 98%) of these variants still have unknown consequences 1–3 . In principle, computational methods could support the large-scale interpretation of genetic variants. However, prior methods 4–7 have relied on training machine learning models on avail...

Topics

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

Identifiers and source

Literature Corpus work
0810c8ad-c376-502d-a5d6-0555a48a332b
DOI
10.1101/2020.12.21.423785
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.
Large-scale clinical interpretation of genetic variants using evolutionary data and deep learningDOI 10.1101/2020.12.21.423785
Select a neighboring publication to make it the new centre.