Network Embedding Across Multiple Tissues and Data Modalities Elucidates the Context of Host Factors Important for COVID-19 Infection

Network Embedding Across Multiple Tissues and Data Modalities Elucidates the Context of Host Factors Important for COVID-19 Infection

COVID-19 is a heterogeneous disease caused by SARS-CoV-2. Aside from infections of the lungs, the disease can spread throughout the body and damage many other tissues, leading to multiorgan failure in severe cases. The highly variable symptom severity is influenced by genetic predispositions and pre...

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Bibliographic Details
Main Authors: Yue Hu, Ghalia Rehawi, Lambert Moyon, Nathalie Gerstner, Christoph Ogris, Janine Knauer-Arloth, Florian Bittner, Annalisa Marsico, Nikola S. Mueller
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-07-01
Series:Frontiers in Genetics
Subjects:
multi-omic integration
network inference
network embedding
COVID-19
machine learning
polygenic risk score (PRS)
Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2022.909714/full

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https://www.frontiersin.org/articles/10.3389/fgene.2022.909714/full

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