Meta-analysis of several gene lists for distinct types of cancer: a simple way to reveal common prognostic markers.
about
In silico simulation of corticosteroids effect on an NFkB- dependent physicochemical model of systemic inflammationData integration in genetics and genomics: methods and challengesUsing the ratio of means as the effect size measure in combining results of microarray experiments.Short time-series microarray analysis: methods and challenges.Accessing and integrating data and knowledge for biomedical research.Connecting genes, coexpression modules, and molecular signatures to environmental stress phenotypes in plants.Meta-analysis of genome-wide expression patterns associated with behavioral maturation in honey bees.A global meta-analysis of microarray expression data to predict unknown gene functions and estimate the literature-data divide.Identification of global transcriptional dynamicsMechanism-anchored profiling derived from epigenetic networks predicts outcome in acute lymphoblastic leukemiaAgent-based modeling of endotoxin-induced acute inflammatory response in human blood leukocytes.Importance of replication in analyzing time-series gene expression data: corticosteroid dynamics and circadian patterns in rat liver.High-throughput processing and normalization of one-color microarrays for transcriptional meta-analysesAlgebraic comparison of partial lists in bioinformaticsMeta-analysis of gene expression signatures reveals hidden links among diverse biological processes in Arabidopsis.Modeling endotoxin-induced systemic inflammation using an indirect response approach.Bioinformatics analysis of transcriptional regulation of circadian genes in rat liver.Identification of epigenetic modifications that contribute to pathogenesis in therapy-related AML: Effective integration of genome-wide histone modification with transcriptional profiles.Comprehensive literature review and statistical considerations for microarray meta-analysisAAPL: Assessing Association between P-value ListsExtracting global system dynamics of corticosteroid genomic effects in rat liverClinical biomarkers of angiogenesis inhibition.Development of Metabolic Indicators of Burn Injury: Very Low Density Lipoprotein (VLDL) and Acetoacetate Are Highly Correlated to Severity of Burn Injury in Rats.CompoundProtein Interaction Prediction Within Chemogenomics: Theoretical Concepts, Practical Usage, and Future Directions.A new symbolic representation for the identification of informative genes in replicated microarray experiments.Designing Dietary Recommendations Using System Level Interactomics Analysis and Network-Based Inference.NETWORKS, BIOLOGY AND SYSTEMS ENGINEERING: A CASE STUDY IN INFLAMMATION.
P2860
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P2860
Meta-analysis of several gene lists for distinct types of cancer: a simple way to reveal common prognostic markers.
description
2007 nî lūn-bûn
@nan
2007 թուականի Ապրիլին հրատարակուած գիտական յօդուած
@hyw
2007 թվականի ապրիլին հրատարակված գիտական հոդված
@hy
2007年の論文
@ja
2007年論文
@yue
2007年論文
@zh-hant
2007年論文
@zh-hk
2007年論文
@zh-mo
2007年論文
@zh-tw
2007年论文
@wuu
name
Meta-analysis of several gene ...... eal common prognostic markers.
@ast
Meta-analysis of several gene ...... eal common prognostic markers.
@en
type
label
Meta-analysis of several gene ...... eal common prognostic markers.
@ast
Meta-analysis of several gene ...... eal common prognostic markers.
@en
prefLabel
Meta-analysis of several gene ...... eal common prognostic markers.
@ast
Meta-analysis of several gene ...... eal common prognostic markers.
@en
P2860
P356
P1433
P1476
Meta-analysis of several gene ...... eal common prognostic markers.
@en
P2093
P2860
P2888
P356
10.1186/1471-2105-8-10
P577
2007-04-06T00:00:00Z
P5875
P6179
1045553053