Biomarkers for mortality prognosis in critically ill patients
A technology for biomarkers and patients, applied in biological testing, bioinformatics, biochemical equipment and methods, etc.
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[0154] The way to die of dangerous patients
[0155] introduction
[0156] We have previously showed that multiple group analysis is a kind of inhabitant 15 And other diseases (including organ transplantation and exclusion, virus infection, and tuberculosis) The effective way to detect conservative gene expression signals 16-18 Essence Therefore, we assume that multi -group analysis of the results of the results of patients with purulent disease will produce a conservative gene collection, which can steadily predict the results of purulent disease and potentially used as the clinical tool for the prognosis of the disease.
[0157] Materials and methods
[0158] Research design
[0159] The purpose of this study is to analyze multiple gene expression datasets using a comprehensive multi -group meta -analysis framework to identify the genetic set of death of patients with purulent patients at the time of admission. This kind of framework has been described before 15,16,18 Essence
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