A model for measurement error for gene expression arrays.
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Statistical tests for differential expression in cDNA microarray experimentsQuantitative analysis of processive RNA degradation by the archaeal RNA exosomeCalibration and assessment of channel-specific biases in microarray data with extended dynamical rangeExploratory differential gene expression analysis in microarray experiments with no or limited replicationModeling gene expression measurement error: a quasi-likelihood approachImproving the statistical detection of regulated genes from microarray data using intensity-based variance estimationNovel approaches to gene expression analysis of active polyarticular juvenile rheumatoid arthritisApplication of independent component analysis to microarraysWithin the fold: assessing differential expression measures and reproducibility in microarray assays.Combining gene expression data from different generations of oligonucleotide arraysThree-parameter lognormal distribution ubiquitously found in cDNA microarray data and its application to parametric data treatmentDefining signal thresholds in DNA microarrays: exemplary application for invasive cancer.Incorporation of gene-specific variability improves expression analysis using high-density DNA microarraysStatistical monitoring of weak spots for improvement of normalization and ratio estimates in microarraysAnalysis of host response to bacterial infection using error model based gene expression microarray experiments.Resolution of large and small differences in gene expression using models for the Bayesian analysis of gene expression levels and spotted DNA microarraysA power law global error model for the identification of differentially expressed genes in microarray dataChipper: discovering transcription-factor targets from chromatin immunoprecipitation microarrays using variance stabilizationSynTReN: a generator of synthetic gene expression data for design and analysis of structure learning algorithms.An approach for clustering gene expression data with error information.A multivariate prediction model for microarray cross-hybridizationSTAT1 and Nmi are downstream targets of Ets-1 transcription factor in MCF-7 human breast cancer cellEvaluating microarray-based classifiers: an overviewBIOPHYSICAL PROPERTIES OF NUCLEIC ACIDS AT SURFACES RELEVANT TO MICROARRAY PERFORMANCE.Variation in fiberoptic bead-based oligonucleotide microarrays: dispersion characteristics among hybridization and biological replicate samples.Bivariate microarray analysis: statistical interpretation of two-channel functional genomics data.Increased power for the analysis of label-free LC-MS/MS proteomics data by combining spectral counts and peptide peak attributes.A global approach to analysis and interpretation of metabolic data for plant natural product discovery.Identifying context-specific transcription factor targets from prior knowledge and gene expression dataRobust and efficient parameter estimation in dynamic models of biological systemsChallenges for MicroRNA Microarray Data Analysis.Identification of significant features in DNA microarray data.Improved significance test for DNA microarray data: temporal effects of shear stress on endothelial genes.Evaluating strategies to normalise biological replicates of Western blot data.Evaluating gene set enrichment analysis via a hybrid data model.Testing for differentially expressed genes with microarray data.A multi-view genomic data simulatorOverexpression of S100A4 in human cancer cell lines resistant to methotrexate.Methodological study of affine transformations of gene expression data with proposed robust non-parametric multi-dimensional normalization method.A novel normalization method for effective removal of systematic variation in microarray data.
P2860
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P2860
A model for measurement error for gene expression arrays.
description
2001 nî lūn-bûn
@nan
2001年の論文
@ja
2001年学术文章
@wuu
2001年学术文章
@zh
2001年学术文章
@zh-cn
2001年学术文章
@zh-hans
2001年学术文章
@zh-my
2001年学术文章
@zh-sg
2001年學術文章
@yue
2001年學術文章
@zh-hant
name
A model for measurement error for gene expression arrays.
@en
A model for measurement error for gene expression arrays.
@nl
type
label
A model for measurement error for gene expression arrays.
@en
A model for measurement error for gene expression arrays.
@nl
prefLabel
A model for measurement error for gene expression arrays.
@en
A model for measurement error for gene expression arrays.
@nl
P1476
A model for measurement error for gene expression arrays.
@en
P2093
P304
P356
10.1089/106652701753307485
P577
2001-01-01T00:00:00Z