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ABSTRACT: Background
COVID-19 disease is characterized by a spectrum of disease phases (mild, moderate, and severe). Each disease phase is marked by changes in omics profiles with corresponding changes in the expression of features (biosignatures). However, integrative analysis of multiple omics data from different experiments across studies to investigate biosignatures at various disease phases is limited. Exploring an integrative multi-omics profile analysis through a network approach could be used to determine biosignatures associated with specific disease phases and enable the examination of the relationships between the biosignatures.Aim
To identify and characterize biosignatures underlying various COVID-19 disease phases in an integrative multi-omics data analysis.Method
SUBMITTER: Agamah FE
PROVIDER: S-EPMC11260748 | biostudies-literature | 2024
REPOSITORIES: biostudies-literature