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Literature DB >> 14969460

Design considerations for efficient and effective microarray studies.

Abstract

This article describes the theoretical and practical issues in experimental design for gene expression microarrays. Specifically, this article 1) discusses the basic principles of design (randomization, replication, and blocking) as they pertain to microarrays, and 2) provides some general guidelines for statisticians designing microarray studies.

Mesh：

Substances：
RNA

Year: 2003 PMID： 14969460 DOI： 10.1111/j.0006-341x.2003.00096.x

Source DB: PubMed Journal: Biometrics ISSN： 0006-341X Impact factor: 2.571

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Cited

44 in total

1. Optimality criteria for the design of 2-color microarray studies.

Authors: Kathleen F Kerr
Journal: Stat Appl Genet Mol Biol Date: 2012-01-13

2. Gene expression analysis to identify molecular correlates of pre- and post-conditioning derived neuroprotection.

Authors: Shiv S Prasad; Marsha Russell; Margeryta Nowakowska; Andrew Williams; Carole Yauk
Journal: J Mol Neurosci Date: 2012-04-01 Impact factor: 3.444

3. Transcriptome profile in Williams-Beuren syndrome lymphoblast cells reveals gene pathways implicated in glucose intolerance and visuospatial construction deficits.

Authors: Anna Antonell; Mireia Vilardell; Luis A Pérez Jurado
Journal: Hum Genet Date: 2010-04-17 Impact factor: 4.132

10. Transcript profiling in Vitis riparia during chilling requirement fulfillment reveals coordination of gene expression patterns with optimized bud break.

Authors: Kathy Mathiason; Dong He; Jérôme Grimplet; J Venkateswari; David W Galbraith; Etti Or; Anne Fennell
Journal: Funct Integr Genomics Date: 2008-07-17 Impact factor: 3.410

Design considerations for efficient and effective microarray studies.

1. Optimality criteria for the design of 2-color microarray studies.

2. Gene expression analysis to identify molecular correlates of pre- and post-conditioning derived neuroprotection.

3. Transcriptome profile in Williams-Beuren syndrome lymphoblast cells reveals gene pathways implicated in glucose intolerance and visuospatial construction deficits.

4. Optimal allocation in designs for assessing heterosis from cDNA gene expression data.

5. Optimal design and analysis of genetic studies on gene expression.

Review 6. A review of statistical methods for expression quantitative trait loci mapping.

Review 7. Design of microarray experiments for genetical genomics studies.

8. A discussion of statistical methods for design and analysis of microarray experiments for plant scientists.

9. Differential gene expression of wheat progeny with contrasting levels of transpiration efficiency.

10. Transcript profiling in Vitis riparia during chilling requirement fulfillment reveals coordination of gene expression patterns with optimized bud break.