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Temporal transcriptomic analysis using TrendCatcher identifies early and persistent neutrophil activation in severe COVID-19
Studying temporal gene expression shifts during disease progression provides important insights into the biological mechanisms that distinguish adaptive and maladaptive responses. Existing tools for the analysis of time course transcriptomic data are not designed to optimally identify distinct tempo...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
American Society for Clinical Investigation
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9057597/ https://www.ncbi.nlm.nih.gov/pubmed/35175937 http://dx.doi.org/10.1172/jci.insight.157255 |