Batches and Blocks, Sample Pools and Subsamples in the Design and Analysis of Gene Expression Studies

Naomi Altman

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Microarray experiments may have batch effects due to samples being collected or processed at different times or by different labs or investigators. Linear mixed models which incorporate the known sources of variation in the experiment can be used as design and analysis tools to assess and minimize the impact of batch effects and to determine the effects of design decisions such as sample pooling or splitting.

Original languageEnglish (US)
Title of host publicationBatch Effects and Noise in Microarray Experiments
Subtitle of host publicationSources and Solutions
PublisherWiley-Blackwell
Pages33-50
Number of pages18
ISBN (Electronic)9780470685983
ISBN (Print)9780470741382
DOIs
StatePublished - Nov 2 2009

All Science Journal Classification (ASJC) codes

  • Biochemistry, Genetics and Molecular Biology(all)

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  • Cite this

    Altman, N. (2009). Batches and Blocks, Sample Pools and Subsamples in the Design and Analysis of Gene Expression Studies. In Batch Effects and Noise in Microarray Experiments: Sources and Solutions (pp. 33-50). Wiley-Blackwell. https://doi.org/10.1002/9780470685983.ch4