Methods for assessing reproducibility of clustering patterns observed in analyses of microarray data.
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Latent bone metastasis in breast cancer tied to Src-dependent survival signalsConsensus clustering and functional interpretation of gene-expression dataCluster stability scores for microarray data in cancer studies.An approach for clustering gene expression data with error information.Integrative genomic identification of genes on 8p associated with hepatocellular carcinoma progression and patient survivalOxalate upregulates expression of IL-2Rβ and activates IL-2R signaling in HK-2 cells, a line of human renal epithelial cellsIntegrated analysis of gene expression, CpG island methylation, and gene copy number in breast cancer cells by deep sequencingPathways activated during human asthma exacerbation as revealed by gene expression patterns in bloodSystematic evaluation of objective functions for predicting intracellular fluxes in Escherichia coliAn integrated approach (CLuster Analysis Integration Method) to combine expression data and protein-protein interaction networks in agrigenomics: application on Arabidopsis thalianaComputational strategies for analyzing data in gene expression microarray experiments.Data integration: challenges for drug discovery.Computational cluster validation in post-genomic data analysis.Model order selection for bio-molecular data clusteringPost hoc pattern matching: assigning significance to statistically defined expression patterns in single channel microarray data.Graph-based consensus clustering for class discovery from gene expression data.Discovering multi-level structures in bio-molecular data through the Bernstein inequality.Reproducible clusters from microarray research: whither?Differential expression of selected histone modifier genes in human solid cancers.New resampling method for evaluating stability of clusterscaBIG VISDA: modeling, visualization, and discovery for cluster analysis of genomic data.Analysis of gene expression data using BRB-ArrayTools.Data perturbation independent diagnosis and validation of breast cancer subtypes using clustering and patterns.MULTI-K: accurate classification of microarray subtypes using ensemble k-means clustering.Analysis of DNA microarray expression dataDistinct organ-specific metastatic potential of individual breast cancer cells and primary tumorsEnumerating the gene sets in breast cancer, a "direct" alternative to hierarchical clustering.Testing clonal relatedness of tumors using array comparative genomic hybridization: a statistical challenge.Widespread decreased expression of immune function genes in human peripheral blood following radiation exposure.A permutation test for determining significance of clusters with applications to spatial and gene expression data.Is my network module preserved and reproducible?Neonatal atlas construction using sparse representation.Molecular signatures in post-mortem brain tissue of younger individuals at high risk for Alzheimer's disease as based on APOE genotype.Colon cancer molecular subtypes identified by expression profiling and associated to stroma, mucinous type and different clinical behavior.Genome wide analysis of differentially expressed genes in HK-2 cells, a line of human kidney epithelial cells in response to oxalateCritical limitations of consensus clustering in class discoveryAdding confidence to gene expression clustering.Parallel analysis of transcript and translation profiles: identification of metastasis-related signal pathways differentially regulated by drug and genetic modifications.Microarray-based class discovery for molecular classification of breast cancer: analysis of interobserver agreementEvidence of dynamically dysregulated gene expression pathways in hyperresponsive B cells from African American lupus patients.
P2860
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P2860
Methods for assessing reproducibility of clustering patterns observed in analyses of microarray data.
description
2002 nî lūn-bûn
@nan
2002 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած
@hyw
2002 թվականի նոյեմբերին հրատարակված գիտական հոդված
@hy
2002年の論文
@ja
2002年論文
@yue
2002年論文
@zh-hant
2002年論文
@zh-hk
2002年論文
@zh-mo
2002年論文
@zh-tw
2002年论文
@wuu
name
Methods for assessing reproduc ...... n analyses of microarray data.
@ast
Methods for assessing reproduc ...... n analyses of microarray data.
@en
type
label
Methods for assessing reproduc ...... n analyses of microarray data.
@ast
Methods for assessing reproduc ...... n analyses of microarray data.
@en
prefLabel
Methods for assessing reproduc ...... n analyses of microarray data.
@ast
Methods for assessing reproduc ...... n analyses of microarray data.
@en
P2093
P356
P1433
P1476
Methods for assessing reproduc ...... n analyses of microarray data.
@en
P2093
Lisa M McShane
Michael D Radmacher
Ming-Chung Li
Richard Simon
P304
P356
10.1093/BIOINFORMATICS/18.11.1462
P407
P577
2002-11-01T00:00:00Z