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Validating the genomic signature of pediatric septic shock.

Validating the genomic signature of pediatric septic shock.

http://www.wikidata.org/entity/Q30439433

about

Lysosome and Cytoskeleton Pathways Are Robustly Enriched in the Blood of Septic Patients: A Meta-Analysis of Transcriptomic Data Clinical review: sepsis and septic shock--the potential of gene arrays A comprehensive time-course-based multicohort analysis of sepsis and sterile inflammation reveals a robust diagnostic gene set Improving reproducibility of lab-on-a-chip sensor with bismuth working electrode for determining Zn in serum by anodic stripping voltammetry Disposable copper-based electrochemical sensor for anodic stripping voltammetry Zinc Detection in Serum by Anodic Stripping Voltammetry on Microfabricated Bismuth Electrodes A novel role for matrix metalloproteinase-8 in sepsis.Genomic expression profiling across the pediatric systemic inflammatory response syndrome, sepsis, and septic shock spectrum.Identification of pediatric septic shock subclasses based on genome-wide expression profiling.Characterization of human septic sera induced gene expression modulation in human myocytes.The pediatric sepsis biomarker risk model.Uncovering hidden duplicated content in public transcriptomics data Benchmarking Sepsis Gene Expression Diagnostics Using Public Data.Inversion-based genomic signatures.Genetic polymorphisms and sepsis in premature neonates.Corticosteroids are associated with repression of adaptive immunity gene programs in pediatric septic shock.Pathophysiology and treatment of septic shock in neonates.Leukocyte subset-derived genomewide expression profiles in pediatric septic shock Temporal dynamics of the transcriptional response to dengue virus infection in Nicaraguan children Differential expression of the nuclear-encoded mitochondrial transcriptome in pediatric septic shock Gene expression profiling of peripheral blood mononuclear cells from children with active hemophagocytic lymphohistiocytosis.Genomic transcriptional profiling identifies a candidate blood biomarker signature for the diagnosis of septicemic melioidosis The temporal version of the pediatric sepsis biomarker risk model.Evaluation of gene expression classification studies: factors associated with classification performance Validation of a gene expression-based subclassification strategy for pediatric septic shock.Genome-wide transcription profiling of human sepsis: a systematic review.Septic Shock in Advanced Age: Transcriptome Analysis Reveals Altered Molecular Signatures in Neutrophil Granulocytes.The influence of developmental age on the early transcriptomic response of children with septic shock.Identification of candidate serum biomarkers for severe septic shock-associated kidney injury via microarray.A multibiomarker-based outcome risk stratification model for adult septic shock*.Prophylactic zinc supplementation reduces bacterial load and improves survival in a murine model of sepsis.Intestine-Derived Matrix Metalloproteinase-8 Is a Critical Mediator of Polymicrobial Peritonitis.Genome-wide expression profiling in pediatric septic shock.Interleukin-27 is a novel candidate diagnostic biomarker for bacterial infection in critically ill children Similarly Lethal Strains of Extraintestinal Pathogenic Escherichia coli Trigger Markedly Diverse Host Responses in a Zebrafish Model of Sepsis.Matrix Metalloproteinase-8 Augments Bacterial Clearance in a Juvenile Sepsis Model.Testing the prognostic accuracy of the updated pediatric sepsis biomarker risk model.Post-ICU admission fluid balance and pediatric septic shock outcomes: a risk-stratified analysis.Robust classification of bacterial and viral infections via integrated host gene expression diagnostics.Mechanisms and regulation of the gene-expression response to sepsis.

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P2860

Validating the genomic signature of pediatric septic shock.

http://www.wikidata.org/entity/Q30439433

description

2008 nî lūn-bûn

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2008 թուականի Մայիսին հրատարակուած գիտական յօդուած

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2008 թվականի մայիսին հրատարակված գիտական հոդված

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2008年の論文

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2008年論文

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2008年論文

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2008年論文

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2008年論文

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2008年論文

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2008年论文

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name

Validating the genomic signature of pediatric septic shock.

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Validating the genomic signature of pediatric septic shock.

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type

label

Validating the genomic signature of pediatric septic shock.

@ast

Validating the genomic signature of pediatric septic shock.

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prefLabel

Validating the genomic signature of pediatric septic shock.

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Validating the genomic signature of pediatric septic shock.

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PHYSIOLGENOMICS.00025.2008

P1433

Physiological Genomics

P1476

Validating the genomic signature of pediatric septic shock

@en

P2093

Bhuvaneswari Sakthivel

http://www.w3.org/2001/XMLSchema#string

Genomics of Pediatric SIRS/Septic Shock Investigators

http://www.w3.org/2001/XMLSchema#string

Geoffrey L Allen

http://www.w3.org/2001/XMLSchema#string

Kelli Odoms

http://www.w3.org/2001/XMLSchema#string

Marie Monaco

http://www.w3.org/2001/XMLSchema#string

Natalie Cvijanovich

http://www.w3.org/2001/XMLSchema#string

Nick Anas

http://www.w3.org/2001/XMLSchema#string

Paul Checchia

http://www.w3.org/2001/XMLSchema#string

Richard Lin

http://www.w3.org/2001/XMLSchema#string

P2860

DAVID: Database for Annotation, Visualization, and Integrated Discovery

Exploration, normalization, and summaries of high density oligonucleotide array probe level data

Microarray data quality - review of current developments

A network-based analysis of systemic inflammation in humans

The pathophysiology and treatment of sepsis

Genome-level expression profiles in pediatric septic shock indicate a role for altered zinc homeostasis in poor outcome.

A regression-based K nearest neighbor algorithm for gene function prediction from heterogeneous data.

Support vector machine applications in bioinformatics.

Microarray data analysis: from disarray to consolidation and consensus.

Application of genome-wide expression analysis to human health and disease.

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127-134

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scholarly article

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10.1152/PHYSIOLGENOMICS.00025.2008

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P433

1

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34

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Robert J. Freishtat

Thomas P Shanley

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2008-05-06T00:00:00Z

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5391740

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18460642

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P921

P932

2440641

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