Article
Systematic temporal analysis of peripheral blood transcriptomes using <i>TrendCatcher</i> identifies early and persistent neutrophil activation as a hallmark of severe COVID-19
2021-05-04
Abstract excerpt
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 temporal patterns when analyzing dynamic differentially expressed genes (DDEGs). Moreover, there is a lack of methods to a...
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Identifiers and source
- Literature Corpus work
- cea2b6be-6df4-5f4c-b103-3462885b0405
- DOI
- 10.1101/2021.05.04.442617
