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

User: Guest

Document type:: Zeitschriftenaufsatz
Author(s):: Hu, Yue ; Rehawi, Ghalia ; Moyon, Lambert ; Gerstner, Nathalie ; Ogris, Christoph ; Knauer-Arloth, Janine ; Bittner, Florian ; Marsico, Annalisa ; Mueller, Nikola S.
Title:: Network Embedding Across Multiple Tissues and Data Modalities Elucidates the Context of Host Factors Important for COVID-19 Infection
Keywords:: Genetics ; multi-omic integration ; network inference ; network embedding ; COVID-19 ; machine learning ; polygenic risk score (PRS)
Journal title:: Frontiers in Genetics
Year:: 2022
Journal volume:: 13
Fulltext / DOI:: doi:10.3389/fgene.2022.909714
Publisher:: Frontiers Media S.A.
E-ISSN:: 1664-8021
Date of publication:: 08.07.2022
CC license:: by, https://creativecommons.org/licenses/by/4.0

BibTeX

Occurrences: