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Article

Identification of potential transcriptomic markers in developing pediatric sepsis: a weighted gene co-expression network analysis and a case–control validation study

1 Dec 2017

Abstract excerpt

BACKGROUND: Sepsis represents a complex disease with the dysregulated inflammatory response and high mortality rate. The goal of this study was to identify potential transcriptomic markers in developing pediatric sepsis by a co-expression module analysis of the transcriptomic dataset. METHODS: Using the R software and Bioconductor packages, we performed a weighted gene co-expression network analysis to identify...

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PMID: 29237456
DOI: 10.1186/s12967-017-1364-8

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