Are data from different gene expression microarray platforms comparable?
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Reliability and reproducibility issues in DNA microarray measurementsReview of the literature examining the correlation among DNA microarray technologiesOptimized LOWESS normalization parameter selection for DNA microarray dataRecent translational research: microarray expression profiling of breast cancer--beyond classification and prognostic markers?Three microarray platforms: an analysis of their concordance in profiling gene expression.A study of inter-lab and inter-platform agreement of DNA microarray dataPAGE: parametric analysis of gene set enrichmentExperimental comparison and cross-validation of the Affymetrix and Illumina gene expression analysis platforms.A global survey of gene regulation during cold acclimation in Arabidopsis thaliana.Protocols for the assurance of microarray data quality and process control.Integrative analysis of multiple gene expression profiles with quality-adjusted effect size models.Construction and validation of the APOCHIP, a spotted oligo-microarray for the study of beta-cell apoptosis.Integrative biological analysis for neuropsychopharmacologyGene expression-based classification of non-small cell lung carcinomas and survival predictionTranscriptional analysis of the pre-erythrocytic stages of the rodent malaria parasite, Plasmodium yoeliiAnalysis of kinase gene expression patterns across 5681 human tissue samples reveals functional genomic taxonomy of the kinomeVariation in fiberoptic bead-based oligonucleotide microarrays: dispersion characteristics among hybridization and biological replicate samples.StRAP: an integrated resource for profiling high-throughput cancer genomic data from stress response studies.Improving reliability and absolute quantification of human brain microarray data by filtering and scaling probes using RNA-Seq.Improving gene expression similarity measurement using pathway-based analytic dimension.Cross-platform comparability of microarray technology: intra-platform consistency and appropriate data analysis procedures are essential.Microarray analysis of gene expression: considerations in data mining and statistical treatment.Sequence biases in large scale gene expression profiling data.Data quality in genomics and microarrays.Bayesian meta-analysis models for microarray data: a comparative study.Identification of phenotype-relevant differentially expressed genes in breast cancer demonstrates enhanced quantile discretization protocol's utility in multi-platform microarray data integration.Array lessons from the heart: focus on the genome and transcriptome of cardiomyopathies.Accessing and integrating data and knowledge for biomedical research.Meta-analysis of microarray studies reveals a novel hematopoietic progenitor cell signature and demonstrates feasibility of inter-platform data integration.Three-color cDNA microarrays with prehybridization quality control yield gene expression data comparable to that of commercial platforms.Cross-platform expression profiling demonstrates that SV40 small tumor antigen activates Notch, Hedgehog, and Wnt signaling in human cellsComparison of the latest commercial short and long oligonucleotide microarray technologies.Bayesian models for pooling microarray studies with multiple sources of replications.An analysis of intra array repeats: the good, the bad and the non informative.Improvement in the reproducibility and accuracy of DNA microarray quantification by optimizing hybridization conditions.Detection of transcriptional difference of porcine imprinted genes using different microarray platformsTranscriptional profiling of the LPS induced NF-kappaB response in macrophagesCross platform microarray analysis for robust identification of differentially expressed genesA Marfan syndrome gene expression phenotype in cultured skin fibroblasts.Improving the prediction accuracy in classification using the combined data sets by ranks of gene expressions.
P2860
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P2860
Are data from different gene expression microarray platforms comparable?
description
2004 nî lūn-bûn
@nan
2004 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2004 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2004年の論文
@ja
2004年論文
@yue
2004年論文
@zh-hant
2004年論文
@zh-hk
2004年論文
@zh-mo
2004年論文
@zh-tw
2004年论文
@wuu
name
Are data from different gene expression microarray platforms comparable?
@ast
Are data from different gene expression microarray platforms comparable?
@en
type
label
Are data from different gene expression microarray platforms comparable?
@ast
Are data from different gene expression microarray platforms comparable?
@en
prefLabel
Are data from different gene expression microarray platforms comparable?
@ast
Are data from different gene expression microarray platforms comparable?
@en
P2093
P50
P1433
P1476
Are data from different gene expression microarray platforms comparable?
@en
P2093
Anna-Kaarina Järvinen
Henrik Edgren
Outi Monni
Petri Auvinen
P304
P356
10.1016/J.YGENO.2004.01.004
P577
2004-06-01T00:00:00Z