Analysis of factorial time-course microarrays with application to a clinical study of burn injury. - Wikidata - awgldk - TriplyDB

Analysis of factorial time-course microarrays with application to a clinical study of burn injury.

Analysis of factorial time-course microarrays with application to a clinical study of burn injury.

http://www.wikidata.org/entity/Q33579870

about

An integrative computational systems biology approach identifies differentially regulated dynamic transcriptome signatures which drive the initiation of human T helper cell differentiation Discovery and validation of new potential biomarkers for early detection of colon cancer In silico modeling: methods and applications to trauma and sepsis From data patterns to mechanistic models in acute critical illness.A network-based method to evaluate quality of reproducibility of differential expression in cancer genomics studies Rotation gene set testing for longitudinal expression data.Screening of Key Genes in Severe Burn Injury at Different Stages via Analyzing Gene Expression Data.Transcriptome modulation by hydrocortisone in severe burn shock: ancillary analysis of a prospective randomized trial.MMpred: functional miRNA--mRNA interaction analyses by miRNA expression prediction.Temporal dynamics of the transcriptional response to dengue virus infection in Nicaraguan children Genomics of injury: The Glue Grant experience.Inferring genome-wide functional modulatory network: a case study on NF-κB/RelA transcription factor Regularization method for predicting an ordinal response using longitudinal high-dimensional genomic data.Down-regulation of glutatione S-transferase α 4 (hGSTA4) in the muscle of thermally injured patients is indicative of susceptibility to bacterial infection.Similar striatal gene expression profiles in the striatum of the YAC128 and HdhQ150 mouse models of Huntington's disease are not reflected in mutant Huntingtin inclusion prevalence.Computational and systems biology in trauma and sepsis: current state and future perspectives.Monitoring Neutrophil-Expressed Cell Surface Esophageal Cancer Related Gene-4 after Severe Burn Injury Association of postburn fatty acids and triglycerides with clinical outcome in severely burned children Sepsis: from pattern to mechanism and back.Development of a genomic metric that can be rapidly used to predict clinical outcome in severely injured trauma patients.Acute Respiratory Distress Syndrome Neutrophils Have a Distinct Phenotype and Are Resistant to Phosphoinositide 3-Kinase Inhibition.Revealing insect herbivory-induced phenolamide metabolism: from single genes to metabolic network plasticity analysis.An integrated clinico-metabolomic model improves prediction of death in sepsis.Gene expression profiling in sepsis: timing, tissue, and translational considerations.The frontline of immune response in peripheral blood.Predicting patient survival from longitudinal gene expression.A BAYESIAN NONPARAMETRIC MIXTURE MODEL FOR SELECTING GENES AND GENE SUBNETWORKS.An integrative statistical method to explore herbivory-specific responses in plants.Classification of patients from time-course gene expression.Deciphering herbivory-induced gene-to-metabolite dynamics in Nicotiana attenuata tissues using a multifactorial approach.Toward the Molecular Signature of Acute Respiratory Distress Syndrome.

P2860

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P2860

Analysis of factorial time-course microarrays with application to a clinical study of burn injury.

http://www.wikidata.org/entity/Q33579870

description

2010 nî lūn-bûn

@nan

2010 թուականի Մայիսին հրատարակուած գիտական յօդուած

@hyw

2010 թվականի մայիսին հրատարակված գիտական հոդված

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2010年の論文

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2010年論文

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2010年論文

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2010年論文

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2010年論文

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2010年論文

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2010年论文

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name

Analysis of factorial time-cou ...... clinical study of burn injury.

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PNAS.1002757107

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Proceedings of the National Academy of Sciences of the United States of America

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Analysis of factorial time-cou ...... clinical study of burn injury.

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Asit K De

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Avery B Nathens

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Baiyu Zhou

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Bernard Brownstein

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Bradley Freeman

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Brett D Arnoldo

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Carol L Miller-Graziano

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Celeste C Finnerty

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David A Schoenfeld

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David G Camp

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P2860

A data-driven clustering method for time course gene expression data.

Significance analysis of time course microarray experiments.

Diagnosis of multiple cancer types by shrunken centroids of gene expression

Clustering of time-course gene expression data using a mixed-effects model with B-splines.

Continuous representations of time-series gene expression data.

Burn injury causes mitochondrial dysfunction in skeletal muscle.

Support of the metabolic response to burn injury.

Identification of the target self-antigens in reperfusion injury.

Temporal cytokine profiles in severely burned patients: a comparison of adults and children

Identification of a specific self-reactive IgM antibody that initiates intestinal ischemia/reperfusion injury.

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scholarly article

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Daniel G Remick

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2010-05-17T00:00:00Z

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