Three microarray platforms: an analysis of their concordance in profiling gene expression.
about
The MicroArray Quality Control (MAQC) project shows inter- and intraplatform reproducibility of gene expression measurementsReview of the literature examining the correlation among DNA microarray technologiesThe end of the microarray Tower of Babel: will universal standards lead the way?Statistical analysis of an RNA titration series evaluates microarray precision and sensitivity on a whole-array basisExperimental comparison and cross-validation of the Affymetrix and Illumina gene expression analysis platforms.Evaluation of reference-based two-color methods for measurement of gene expression ratios using spotted cDNA microarrays.Integrative biological analysis for neuropsychopharmacologyCardiovascular genomics: a biomarker identification pipelineNovel insights into human respiratory syncytial virus-host factor interactions through integrated proteomics and transcriptomics analysisAn open-access long oligonucleotide microarray resource for analysis of the human and mouse transcriptomes.Microarray analysis of gene expression: considerations in data mining and statistical treatment.Meta-analysis of microarray studies reveals a novel hematopoietic progenitor cell signature and demonstrates feasibility of inter-platform data integration.Nanoliter high throughput quantitative PCR.Cross platform microarray analysis for robust identification of differentially expressed genesAutocorrelation analysis reveals widespread spatial biases in microarray experiments.A detailed transcript-level probe annotation reveals alternative splicing based microarray platform differencesCharacterization of a newly developed chicken 44K Agilent microarray.Can subtle changes in gene expression be consistently detected with different microarray platforms?The T7-primer is a source of experimental bias and introduces variability between microarray platformsComparative analysis of methods for gene transcription profiling data derived from different microarray technologies in rat and mouse models of diabetes.A cross-laboratory comparison of expression profiling data from normal human postmortem brain.A quantitative model of transcriptional regulation reveals the influence of binding location on expressionMeta-analysis of gene expression microarrays with missing replicates.Empirical comparison of cross-platform normalization methods for gene expression dataWhat would you do if you could sequence everything?Galectin-1, a gene preferentially expressed at the tumor margin, promotes glioblastoma cell invasion.Estimating relative noise to signal in DNA microarray dataBlood-based identification of non-responders to anti-TNF therapy in rheumatoid arthritis.FDA perspectives on potential microarray-based clinical diagnostics.Improving reliability and performance of DNA microarrays.Disease-specific gene expression profiling in multiple models of lung diseaseExploring host-pathogen interactions at the epithelial surface: application of transcriptomics in lung biology.Gene expression patterns of sulfur starvation in Synechocystis sp. PCC 6803.Constitutional polymorphisms of prostate cancer: prognostic and diagnostic implications.Technical variables in high-throughput miRNA expression profiling: much work remains to be done.Dysregulated molecular networks in head and neck carcinogenesisMicroarray probes and probe sets.Genome-wide gene expression patterns and growth requirements suggest that Pelobacter carbinolicus reduces Fe(III) indirectly via sulfide production.Application of a correlation correction factor in a microarray cross-platform reproducibility studyPersistence of regenerative myogenesis in spite of down-regulation of activity-dependent genes in long-term denervated rat muscle.
P2860
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P2860
Three microarray platforms: an analysis of their concordance in profiling gene expression.
description
2005 nî lūn-bûn
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2005 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2005 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2005年の論文
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2005年論文
@yue
2005年論文
@zh-hant
2005年論文
@zh-hk
2005年論文
@zh-mo
2005年論文
@zh-tw
2005年论文
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name
Three microarray platforms: an analysis of their concordance in profiling gene expression
@nl
Three microarray platforms: an ...... in profiling gene expression.
@ast
Three microarray platforms: an ...... in profiling gene expression.
@en
type
label
Three microarray platforms: an analysis of their concordance in profiling gene expression
@nl
Three microarray platforms: an ...... in profiling gene expression.
@ast
Three microarray platforms: an ...... in profiling gene expression.
@en
prefLabel
Three microarray platforms: an analysis of their concordance in profiling gene expression
@nl
Three microarray platforms: an ...... in profiling gene expression.
@ast
Three microarray platforms: an ...... in profiling gene expression.
@en
P2093
P2860
P356
P1433
P1476
Three microarray platforms: an analysis of their concordance in profiling gene expression
@en
P2093
David Munroe
David Petersen
Ernest S Kawasaki
G V R Chandramouli
J Carl Barrett
Jeffrey Green
Joanne Hilburn
Joel Geoghegan
John Weinstein
P2860
P2888
P356
10.1186/1471-2164-6-63
P407
P577
2005-05-05T00:00:00Z
P5875
P6179
1020173213