(Q31032001)

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Statistical practice in high-throughput screening data analysis

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scholarly article

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Europe PubMed Central

28 June 2017

Statistical practice in high-throughput screening data analysis (English)

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Europe PubMed Central

28 June 2017

high-throughput screening

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author name string

Nathalie Malo

1

1 reference

Europe PubMed Central

28 June 2017

James A Hanley

2

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Europe PubMed Central

28 June 2017

Sonia Cerquozzi

3

1 reference

Europe PubMed Central

28 June 2017

Jerry Pelletier

4

1 reference

Europe PubMed Central

28 June 2017

Robert Nadon

5

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Europe PubMed Central

28 June 2017

publication date

1 February 2006

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Europe PubMed Central

28 June 2017

Nature Biotechnology

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Europe PubMed Central

28 June 2017

24

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28 June 2017

167-175

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Europe PubMed Central

28 June 2017

2

1 reference

Europe PubMed Central

28 June 2017

Screening for content--the evolution of high throughput

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Statistical and graphical methods for quality control determination of high-throughput screening data

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Calculating the probability of detection for inhibitors in enzymatic or binding reactions in high-throughput screening

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Ratio-based decisions and the quantitative analysis of cDNA microarray images

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Importance of replication in microarray gene expression studies: statistical methods and evidence from repetitive cDNA hybridizations

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Statistical issues with microarrays: processing and analysis

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A random variance model for detection of differential gene expression in small microarray experiments.

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

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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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Drug discovery in academia

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Pharmaceutical profiling in drug discovery.

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Identifiers

10.1038/NBT1186

1 reference

Europe PubMed Central

28 June 2017

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1 reference

Europe PubMed Central

28 June 2017

ResearchGate publication ID

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Springer Nature article ID

10.1038/nbt1186

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