Three methods for optimization of cross-laboratory and cross-platform microarray expression data.
about
Comparative study of classification algorithms for immunosignaturing dataMultiscale integration of -omic, imaging, and clinical data in biomedical informatics.StRAP: an integrated resource for profiling high-throughput cancer genomic data from stress response studies.A comprehensive sensitivity analysis of microarray breast cancer classification under feature variability.Evaluating methods for ranking differentially expressed genes applied to microArray quality control data.Specificity of DNA microarray hybridization: characterization, effectors and approaches for data correction.Improved microarray gene expression profiling of virus-infected cells after removal of viral RNAPerformance comparison of two microarray platforms to assess differential gene expression in human monocyte and macrophage cells.Coincidence between transcriptome analyses on different microarray platforms using a parametric framework.Quality assessment of transcriptome data using intrinsic statistical properties.Cross-platform analysis of global microRNA expression technologiesThe ketogenic diet reverses gene expression patterns and reduces reactive oxygen species levels when used as an adjuvant therapy for glioma.Physical characterization of the "immunosignaturing effect"A comparative analysis of transcription factor expression during metazoan embryonic development.Evaluation of biological sample preparation for immunosignature-based diagnostics.Evolution of gene expression in the Drosophila olfactory systemMicroarray labeling extension values: laboratory signatures for Affymetrix GeneChipsDevelopment and evaluation of normalization methods for label-free relative quantification of endogenous peptides.Aptamer-guided gene targeting in yeast and human cells.Robust microarray meta-analysis identifies differentially expressed genes for clinical prediction.Application of immunosignatures to the assessment of Alzheimer's disease.
P2860
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P2860
Three methods for optimization of cross-laboratory and cross-platform microarray expression data.
description
2007 nî lūn-bûn
@nan
2007 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2007 թվականի մայիսին 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
Three methods for optimization ...... rm microarray expression data.
@ast
Three methods for optimization ...... rm microarray expression data.
@en
type
label
Three methods for optimization ...... rm microarray expression data.
@ast
Three methods for optimization ...... rm microarray expression data.
@en
prefLabel
Three methods for optimization ...... rm microarray expression data.
@ast
Three methods for optimization ...... rm microarray expression data.
@en
P2860
P356
P1476
Three methods for optimization ...... rm microarray expression data.
@en
P2093
Marcel Brun
Phillip Stafford
P2860
P356
10.1093/NAR/GKL1133
P407
P577
2007-05-03T00:00:00Z