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Article

Unsupervised Analysis of Transcriptomics in Bacterial Sepsis Across Multiple Datasets Reveals Three Robust Clusters

14 Mar 2018

Abstract excerpt

OBJECTIVES: To find and validate generalizable sepsis subtypes using data-driven clustering. DESIGN: We used advanced informatics techniques to pool data from 14 bacterial sepsis transcriptomic datasets from eight different countries (n = 700). SETTING: Retrospective analysis. SUBJECTS: Persons admitted to the hospital with bacterial sepsis. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: A unified clustering...

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Immune Response and Inflammation
Neonatal and Maternal Infections
Sepsis Diagnosis and Treatment

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 29537985
DOI: 10.1097/ccm.0000000000003084

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