Cross-platform analysis of cancer microarray data improves gene expression based classification of phenotypes
about
Integrated network analysis of transcriptomic and proteomic data in psoriasisReview of the literature examining the correlation among DNA microarray technologiesThe end of the microarray Tower of Babel: will universal standards lead the way?Large-scale integration of microarray data reveals genes and pathways common to multiple cancer typesUsing rule-based machine learning for candidate disease gene prioritization and sample classification of cancer gene expression dataCombining evidence of preferential gene-tissue relationships from multiple sourcesKnowledge transfer via classification rules using functional mapping for integrative modeling of gene expression dataIntegrative computational biology for cancer researchData integration in genetics and genomics: methods and challengesArrayMining: a modular web-application for microarray analysis combining ensemble and consensus methods with cross-study normalization.Using the ratio of means as the effect size measure in combining results of microarray experiments.virtualArray: a R/bioconductor package to merge raw data from different microarray platforms.AnyExpress: integrated toolkit for analysis of cross-platform gene expression data using a fast interval matching algorithm.Integration of genomic data for pharmacology and toxicology using Internet resources.Bayesian meta-analysis models for microarray data: a comparative study.A comparative evaluation of data-merging and meta-analysis methods for reconstructing gene-gene interactionsMeta-analysis of gene expression data: a predictor-based approach.Three methods for optimization of cross-laboratory and cross-platform microarray expression data.Using gene expression data and network topology to detect substantial pathways, clusters and switches during oxygen deprivation of Escherichia coliCross-study analysis of gene expression data for intermediate neuroblastoma identifies two biological subtypes.Identification of phenotype-relevant differentially expressed genes in breast cancer demonstrates enhanced quantile discretization protocol's utility in multi-platform microarray data integration.Classification of heterogeneous microarray data by maximum entropy kernel.A practical question based on cross-platform microarray data normalization: are BOEC more like large vessel or microvascular endothelial cells or neither of them?Prediction potential of candidate biomarker sets identified and validated on gene expression data from multiple datasets.A meta-analysis of public microarray data identifies gene regulatory pathways deregulated in peripheral blood mononuclear cells from individuals with Systemic Lupus Erythematosus compared to those withoutMerging microarray data from separate breast cancer studies provides a robust prognostic test.Meta-analysis of microarray studies reveals a novel hematopoietic progenitor cell signature and demonstrates feasibility of inter-platform data integration.Characterizing disease states from topological properties of transcriptional regulatory networks.Meta-analysis of several gene lists for distinct types of cancer: a simple way to reveal common prognostic markers.Key issues in conducting a meta-analysis of gene expression microarray datasets.A resampling-based meta-analysis for detection of differential gene expression in breast cancerRegularized gene selection in cancer microarray meta-analysisIntegrative disease classification based on cross-platform microarray data.Meta Analysis of Gene Expression Data within and Across Species.WebArrayDB: cross-platform microarray data analysis and public data repositoryTowards large-scale sample annotation in gene expression repositories.Can survival prediction be improved by merging gene expression data sets?Classification across gene expression microarray studies.A gene expression signature of RAS pathway dependence predicts response to PI3K and RAS pathway inhibitors and expands the population of RAS pathway activated tumors.Comparison study of microarray meta-analysis methods.
P2860
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P2860
Cross-platform analysis of cancer microarray data improves gene expression based classification of phenotypes
description
2005 nî lūn-bûn
@nan
2005 թուականին հրատարակուած գիտական յօդուած
@hyw
2005 թվականին հրատարակված գիտական հոդված
@hy
2005年の論文
@ja
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
@wuu
name
Cross-platform analysis of can ...... d classification of phenotypes
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Cross-platform analysis of can ...... d classification of phenotypes
@en
Cross-platform analysis of can ...... d classification of phenotypes
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type
label
Cross-platform analysis of can ...... d classification of phenotypes
@ast
Cross-platform analysis of can ...... d classification of phenotypes
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Cross-platform analysis of can ...... d classification of phenotypes
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prefLabel
Cross-platform analysis of can ...... d classification of phenotypes
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Cross-platform analysis of can ...... d classification of phenotypes
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Cross-platform analysis of can ...... d classification of phenotypes
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P2860
P3181
P356
P1433
P1476
Cross-platform analysis of can ...... d classification of phenotypes
@en
P2093
Patrick Warnat
P2860
P2888
P3181
P356
10.1186/1471-2105-6-265
P407
P577
2005-01-01T00:00:00Z
P5875
P6179
1052015842