z-logo
open-access-imgOpen Access
Gaining Insight into SARS-CoV-2 Infection and COVID-19 Severity Using Self-supervised Edge Features and Graph Neural Networks
Author(s) -
Arijit Sehanobish,
Neal G. Ravindra,
David van Dijk
Publication year - 2021
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v35i6.16619
Subject(s) - bottleneck , covid-19 , transcriptome , computational biology , systems biology , computer science , disease , biology , artificial intelligence , medicine , infectious disease (medical specialty) , gene , genetics , gene expression , pathology , embedded system

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom