On differential variability of expression ratios: improving statistical inference about gene expression changes from microarray data.
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Statistical tests for differential expression in cDNA microarray experimentsExploratory 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 estimationWithin the fold: assessing differential expression measures and reproducibility in microarray assays.How many replicates of arrays are required to detect gene expression changes in microarray experiments? A mixture model approach.Empirical characterization of the expression ratio noise structure in high-density oligonucleotide arrays.Statistical methods for ranking differentially expressed genesAccuracy of cDNA microarray methods to detect small gene expression changes induced by neuregulin on breast epithelial cellsAn adaptive method for cDNA microarray normalizationIncorporation of gene-specific variability improves expression analysis using high-density DNA microarraysImproving identification of differentially expressed genes in microarray studies using information from public databasesModel-based cluster analysis of microarray gene-expression dataBayesian analysis of gene expression levels: statistical quantification of relative mRNA level across multiple strains or treatmentsVector algebra in the analysis of genome-wide expression dataResolution of large and small differences in gene expression using models for the Bayesian analysis of gene expression levels and spotted DNA microarraysEffect of sample size and P-value filtering techniques on the detection of transcriptional changes induced in rat neuroblastoma (NG108) cells by mefloquineThe effects of normalization on the correlation structure of microarray dataNonparametric tests for differential gene expression and interaction effects in multi-factorial microarray experimentsDecoding the nucleoid organisation of Bacillus subtilis and Escherichia coli through gene expression dataAnalysis of a splice array experiment elucidates roles of chromatin elongation factor Spt4-5 in splicingGenome-wide estimation of transcript concentrations from spotted cDNA microarray data.Normal uniform mixture differential gene expression detection for cDNA microarrays.An approach for clustering gene expression data with error information.A dominantly acting murine allele of Mcm4 causes chromosomal abnormalities and promotes tumorigenesisNormalization for cDNA microarray data: a robust composite method addressing single and multiple slide systematic variation.Gene expression changes in the olfactory bulb of mice induced by exposure to diesel exhaust are dependent on animal rearing environmentNovel long non-protein coding RNAs involved in Arabidopsis differentiation and stress responsesModerated estimation of fold change and dispersion for RNA-seq data with DESeq2Transactivation of miR-34a by p53 broadly influences gene expression and promotes apoptosisIntensity-based hierarchical Bayes method improves testing for differentially expressed genes in microarray experimentsPrior robust empirical Bayes inference for large-scale data by conditioning on rank with application to microarray data.An evolutionarily 'young' lysine residue in histone H3 attenuates transcriptional output in Saccharomyces cerevisiaeData mining in genomicsA model of anti-angiogenesis: differential transcriptosome profiling of microvascular endothelial cells from diffuse systemic sclerosis patients.Differential expression analysis for paired RNA-Seq dataDifferential gene expression analysis using coexpression and RNA-Seq data.ToP: a trend-of-disease-progression procedure works well for identifying cancer genes from multi-state cohort gene expression data for human colorectal cancer.Argus--a new database system for Web-based analysis of multiple microarray data sets.Identification of significant features in DNA microarray data.
P2860
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P2860
On differential variability of expression ratios: improving statistical inference about gene expression changes from microarray data.
description
2001 nî lūn-bûn
@nan
2001 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2001 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2001年の論文
@ja
2001年論文
@yue
2001年論文
@zh-hant
2001年論文
@zh-hk
2001年論文
@zh-mo
2001年論文
@zh-tw
2001年论文
@wuu
name
On differential variability of ...... changes from microarray data.
@ast
On differential variability of ...... changes from microarray data.
@en
type
label
On differential variability of ...... changes from microarray data.
@ast
On differential variability of ...... changes from microarray data.
@en
prefLabel
On differential variability of ...... changes from microarray data.
@ast
On differential variability of ...... changes from microarray data.
@en
P2093
P1476
On differential variability of ...... changes from microarray data.
@en
P2093
Blattner FR
Kendziorski CM
Richmond CS
P356
10.1089/106652701300099074
P577
2001-01-01T00:00:00Z