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Article

Predicting COVID-19 disease severity from SARS-CoV-2 spike protein sequence by mixed effects machine learning.

Computers in biology and medicine - 1 Oct 2022

Sokhansanj Bahrad A, Rosen Gail L

Abstract excerpt

Epidemiological studies show that COVID-19 variants-of-concern, like Delta and Omicron, pose different risks for severe disease, but they typically lack sequence-level information for the virus. Studies which do obtain viral genome sequences are generally limited in time, location, and population scope. Retrospective meta-analyses require time-consuming data extraction from heterogeneous formats and are limited...

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Source

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Identifiers

PMID: 36041271
DOI: 10.1016/j.compbiomed.2022.105969
PMCID: PMC9384346

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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