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Statistical methods for ranking differentially expressed genes

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Statistical methods for ranking differentially expressed genes (English)

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Per Broberg

1

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language of work or name

English

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publication date

2003

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published in

Genome Biology

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volume

4

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issue

6

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page(s)

R41

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cites work

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7 April 2017

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Molecular classification of cancer: class discovery and class prediction by gene expression monitoring

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

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Statistical Issues in cDNA Microarray Data Analysis

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A comparative review of statistical methods for discovering differentially expressed genes in replicated microarray experiments

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28 September 2017

Adjustments and measures of differential expression for microarray data

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28 September 2017

On differential variability of expression ratios: improving statistical inference about gene expression changes from microarray data

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Microarray expression profiling identifies genes with altered expression in HDL-deficient mice

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Global gene expression profiling in Escherichia coli K12. The effects of integration host factor

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30 May 2018

Identifiers

DOI

10.1186/GB-2003-4-6-R41

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Dimensions Publication ID

1028132880

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PMC publication ID

193620

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PubMed publication ID

12801415

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ResearchGate publication ID

10713646

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(Q24796261)

Statistical methods for ranking differentially expressed genes

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