Expression profiling--best practices for data generation and interpretation in clinical trials (Q47199676)

11 January 2018

review article

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title

Expression profiling--best practices for data generation and interpretation in clinical trials (English)

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11 January 2018

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Tumor Analysis Best Practices Working Group

series ordinal

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11 January 2018

publication date

1 March 2004

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11 January 2018

published in

Nature Reviews Genetics

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11 January 2018

volume

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11 January 2018

issue

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11 January 2018

page(s)

229-237

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11 January 2018

Minimum information about a microarray experiment (MIAME)-toward standards for microarray data

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Selection bias in gene extraction on the basis of microarray gene-expression data

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Predicting the clinical status of human breast cancer by using gene expression profiles

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Significance analysis of microarrays applied to the ionizing radiation response

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Diagnosis of multiple cancer types by shrunken centroids of gene expression

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Gene expression phenotypic models that predict the activity of oncogenic pathways

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Gene expression predictors of breast cancer outcomes

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Singular value decomposition for genome-wide expression data processing and modeling

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In vivo multi-tissue corticosteroid microarray time series available online at Public Expression Profile Resource (PEPR).

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Gene expression profile of serial samples of transformed B-cell lymphomas.

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inferred from DOI database lookup

7 January 2021

based on heuristic

Identifiers

DOI

10.1038/NRG1297

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11 January 2018

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11 January 2018