Correction of technical bias in clinical microarray data improves concordance with known biological information.
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Algorithm-driven artifacts in median polish summarization of microarray dataBiasogram: visualization of confounding technical bias in gene expression dataEvaluation of microarray preprocessing algorithms based on concordance with RT-PCR in clinical samples.Systematic characterisation of cellular localisation and expression profiles of proteins containing MHC ligands.Using pre-existing microarray datasets to increase experimental power: application to insulin resistance.Making informed choices about microarray data analysisImputing gene expression to maximize platform compatibility.Independent component analysis: mining microarray data for fundamental human gene expression modulesExpression analysis of flavonoid biosynthesis genes during Arabidopsis thaliana silique and seed development with a primary focus on the proanthocyanidin biosynthetic pathwayIdentifying global expression patterns and key regulators in epithelial to mesenchymal transition through multi-study integration.Expression cartography of human tissues using self organizing mapsJetset: selecting the optimal microarray probe set to represent a gene.Homogeneous datasets of triple negative breast cancers enable the identification of novel prognostic and predictive signatures.Acute stress alters amygdala microRNA miR-135a and miR-124 expression: inferences for corticosteroid dependent stress response.A mRNA landscape of bovine embryos after standard and MAPK-inhibited culture conditions: a comparative analysis.A robust prognostic gene expression signature for early stage lung adenocarcinoma.A large-scale analysis of tissue-specific pathology and gene expression of human disease genes and complexes.CellMapper: rapid and accurate inference of gene expression in difficult-to-isolate cell typesExpression differences by continent of origin point to the immortalization process.High expression of insulin receptor on tumour-associated blood vessels in invasive bladder cancer predicts poor overall and progression-free survival.Gene co-expression analyses: an overview from microarray collections in Arabidopsis thaliana.Prognostic and predictive biomarkers post curative intent therapy.GSEA-InContext: identifying novel and common patterns in expression experiments.Data-driven human transcriptomic modules determined by independent component analysisAutism-like phenotype and risk gene mRNA deadenylation by CPEB4 mis-splicing
P2860
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P2860
Correction of technical bias in clinical microarray data improves concordance with known biological information.
description
2008 nî lūn-bûn
@nan
2008 թուականի Փետրուարին հրատարակուած գիտական յօդուած
@hyw
2008 թվականի փետրվարին հրատարակված գիտական հոդված
@hy
2008年の論文
@ja
2008年論文
@yue
2008年論文
@zh-hant
2008年論文
@zh-hk
2008年論文
@zh-mo
2008年論文
@zh-tw
2008年论文
@wuu
name
Correction of technical bias i ...... known biological information.
@ast
Correction of technical bias i ...... known biological information.
@en
type
label
Correction of technical bias i ...... known biological information.
@ast
Correction of technical bias i ...... known biological information.
@en
prefLabel
Correction of technical bias i ...... known biological information.
@ast
Correction of technical bias i ...... known biological information.
@en
P2860
P356
P1433
P1476
Correction of technical bias i ...... known biological information.
@en
P2860
P2888
P356
10.1186/GB-2008-9-2-R26
P577
2008-02-04T00:00:00Z
P5875
P6179
1021482142