Integrated multi-sample transcriptomic analysis of COVID-19 patients against controls using a bioinformatics pipeline

Integrated multi-sample transcriptomic analysis of COVID-19 patients against controls using a bioinformatics pipeline

Abstract Prior coronavirus disease 2019 (COVID-19) transcriptomic studies using diverse methods for differential gene expression (DGE) profiling of specific samples yielded inconsistent results. To validate the shared molecular patterns of COVID-19 across cell, tissue, and systemic levels, we conduc...

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Bibliographic Details
Main Authors: Li Ying Khoo, Sarinder Kaur Dhillon
Format: Article
Language:English
Published: Nature Portfolio 2025-06-01
Series:Scientific Reports
Subjects:
Bioinformatics
Covid-19
Gene-expression
Meta-analysis
Online Access:https://doi.org/10.1038/s41598-025-03640-1
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https://doi.org/10.1038/s41598-025-03640-1

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