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Tongta Sae-Ong

Leibniz Institute for Natural Product Research and Infection Biology – Hans Knöll Institute (HKI) - Systems Biology and Bioinformatics Unit

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Risk Assessment with Gene Expression Markers in Sepsis Development

Number of pages: 48 Posted: 29 Oct 2022
Albert Garcia Lopez, Sascha Schäuble, Tongta Sae-Ong, Bastian Seelbinder, Michael Bauer, Evangelos Giamarellos-Bourboulis, Mervyn Singer, Roman Lukaszewski and Gianni Panagiotou
Leibniz Institute for Natural Product Research and Infection Biology – Hans Knöll Institute (HKI) - Systems Biology and Bioinformatics Unit, Leibniz Institute for Natural Product Research and Infection Biology – Hans Knöll Institute (HKI) - Systems Biology and Bioinformatics Unit, Leibniz Institute for Natural Product Research and Infection Biology – Hans Knöll Institute (HKI) - Systems Biology and Bioinformatics Unit, Leibniz Institute for Natural Product Research and Infection Biology – Hans Knöll Institute (HKI) - Systems Biology and Bioinformatics Unit, Jena University - Department of Anesthesiology and Intensive Care Medicine, - 4th Department of Internal Medicine, University College London - Bloomsbury Institute for Intensive Care Medicine, University College London - Bloomsbury Institute for Intensive Care Medicine and Leibniz Institute for Natural Product Research and Infection Biology – Hans Knöll Institute (HKI) - Systems Biology and Bioinformatics Unit
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sepsis, infectious diseases, prognosis biomarkers, disease prediction, machine learning, phenotype stratification, network analysis, transcriptomics, RNA sequencing, RT-qPCR