Standardizing global gene expression analysis between laboratories and across platforms. (Q34413218)

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11 January 2020

title

Standardizing global gene expression analysis between laboratories and across platforms (English)

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Sanchita Bhattacharyaa

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Sanchita Bhattacharya

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Members of the Toxicogenomics Research Consortium

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publication date

21 April 2005

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volume

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issue

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page(s)

351-356

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Computational analysis of microarray data

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cites work

1 reference

7 January 2021

Statistical issues with microarrays: processing and analysis

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7 January 2021

Assessing sources of variability in microarray gene expression data

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7 January 2021

Evaluation of gene expression measurements from commercial microarray platforms

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7 January 2021

Design issues for cDNA microarray experiments

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7 January 2021

Getting the noise out of gene arrays

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7 January 2021

The sharing of cDNA microarray data

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7 January 2021

Microarrays: lost in a storm of data?

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7 January 2021

Standards for microarray data

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7 January 2021

Distalization of the Drosophila leg by graded EGF-receptor activity

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7 January 2021

Use of RNA and genomic DNA references for inferred comparisons in DNA microarray analyses

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7 January 2021

DNA arrays for analysis of gene expression

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7 January 2021

Universal RNA reference materials for gene expression.

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7 January 2021

Experimental design for gene expression microarrays

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7 January 2021

Summaries of Affymetrix GeneChip probe level data

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7 January 2021

Assessing gene significance from cDNA microarray expression data via mixed models

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7 January 2021

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7 January 2021

A Software Package for cDNA Microarray Data Normalization and Assessing Confidence Intervals

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7 January 2021

Issues in cDNA microarray analysis: quality filtering, channel normalization, models of variations and assessment of gene effects

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7 January 2021

Identifiers

DOI

10.1038/NMETH754

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Dimensions Publication ID

11 January 2020

1012399158

0 references

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