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Erschienen in:
Accuracy Assessment of Consensus Sequence from Shotgun Sequencing Kapitel lesen Erstes Kapitel lesen

2011 | OriginalPaper | Buchkapitel

8. Experimental Designs and ANOVA for Microarray Data

verfasst von : Richard E. Kennedy, Xiangqin Cui

Erschienen in: Handbook of Statistical Bioinformatics

Verlag: Springer Berlin Heidelberg

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Abstract

Microarray experiments are complex, multistep processes that represent a considerable investment of time and resources. Proper experimental design and analysis are critical to the success of a microarray experiment, and must be considered early in the planning of the experiment. Many aspects of experimental design from low-throughput experiments, such as randomization, replication, and blocking, remain applicable to microarray experiments as well. Similarly, the analysis of variance (ANOVA) remains a valid approach for analyzing data from most microarray experiments. However, the high-dimensional nature of microarrays introduces additional considerations into the design and analysis. This chapter provides an overview of the unique statistical challenges presented by microarrays and describes computational methods for implementing these statistical algorithms.

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Vorheriges Kapitel Mixture Tree Construction and Its Applications
Nächstes Kapitel The MicroArray Quality Control (MAQC) Project and Cross-Platform Analysis of Microarray Data
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Metadaten
Titel
Experimental Designs and ANOVA for Microarray Data
verfasst von
Richard E. Kennedy
Xiangqin Cui
Copyright-Jahr
2011
Verlag
Springer Berlin Heidelberg
Buch
Handbook of Statistical Bioinformatics

Print ISBN: 978-3-642-16344-9

Electronic ISBN: 978-3-642-16345-6

Copyright-Jahr: 2011

DOI
https://doi.org/10.1007/978-3-642-16345-6_8