Bayesian optimal discovery procedure for simultaneous significance testing. - Wikidata - awgldk - TriplyDB

Bayesian optimal discovery procedure for simultaneous significance testing.

Bayesian optimal discovery procedure for simultaneous significance testing.

http://www.wikidata.org/entity/Q33397855

about

A close examination of double filtering with fold change and T test in microarray analysis.GO-Bayes: Gene Ontology-based overrepresentation analysis using a Bayesian approach.Bayesian decision theoretic multiple comparison procedures: an application to phage display data Identification of significant features by the Global Mean Rank test Effect of normalization on statistical and biological interpretation of gene expression profiles.Multi-subgroup gene screening using semi-parametric hierarchical mixture models and the optimal discovery procedure: Application to a randomized clinical trial in multiple myeloma.An empirical Bayes optimal discovery procedure based on semiparametric hierarchical mixture models.A Bayesian Discovery Procedure.The optimal discovery procedure in multiple significance testing: an empirical Bayes approach.

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P2860

Bayesian optimal discovery procedure for simultaneous significance testing.

http://www.wikidata.org/entity/Q33397855

description

2009 nî lūn-bûn

@nan

2009 թուականի Յունուարին հրատարակուած գիտական յօդուած

@hyw

2009 թվականի հունվարին հրատարակված գիտական հոդված

@hy

2009年の論文

@ja

2009年論文

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2009年論文

@zh-hant

2009年論文

@zh-hk

2009年論文

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2009年論文

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2009年论文

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name

Bayesian optimal discovery procedure for simultaneous significance testing.

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Bayesian optimal discovery procedure for simultaneous significance testing.

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type

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Bayesian optimal discovery procedure for simultaneous significance testing.

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Bayesian optimal discovery procedure for simultaneous significance testing.

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Bayesian optimal discovery procedure for simultaneous significance testing.

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Bayesian optimal discovery procedure for simultaneous significance testing.

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BMC Bioinformatics

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Bayesian optimal discovery procedure for simultaneous significance testing.

@en

P2093

Angelique Whitehurst

http://www.w3.org/2001/XMLSchema#string

Jing Cao

http://www.w3.org/2001/XMLSchema#string

Michael A White

http://www.w3.org/2001/XMLSchema#string

Song Zhang

http://www.w3.org/2001/XMLSchema#string

Xian-Jin Xie

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P2860

Preferred analysis methods for Affymetrix GeneChips revealed by a wholly defined control dataset

Statistical tests for differential expression in cDNA microarray experiments

Significance analysis of microarrays applied to the ionizing radiation response

Linear models and empirical bayes methods for assessing differential expression in microarray experiments

Putative null distributions corresponding to tests of differential expression in the Golden Spike dataset are intensity dependent

A Bayesian framework for the analysis of microarray expression data: regularized t -test and statistical inferences of gene changes

Intensity-based hierarchical Bayes method improves testing for differentially expressed genes in microarray experiments

A two-sample Bayesian t-test for microarray data.

A comprehensive re-analysis of the Golden Spike data: towards a benchmark for differential expression methods.

Synthetic lethal screen identification of chemosensitizer loci in cancer cells.

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5

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scholarly article

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10.1186/1471-2105-10-5

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10

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2009-01-06T00:00:00Z

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23761212

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