Using gene subsets in the assessment of microarray data quality for time course experiments
Guan, Shiqin Helen, Bonnett, Laura and Brettschneider, Julia (2009) Using gene subsets in the assessment of microarray data quality for time course experiments. Working Paper. Coventry: University of Warwick. Centre for Research in Statistical Methodology. Working papers, Vol.2009 (No.24).
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Official URL: http://www2.warwick.ac.uk/fac/sci/statistics/crism...
The application of established microarray data quality measures to time course experiments potentially
gives misleading results. In particular, genuine biological variation my be mistaken for technical
artifacts. We suggest tailoring standard methods to time course data by restricting the assessment
to subsets of genes selected on the basis of the experiment. The method is tested on two different
kinds of experimental data sets, one from a developmental process and one from a circadian process.
With these modifications, quality assessment for microarray data can be tuned to appropriately address
the special situation of time course experiments.
|Item Type:||Working or Discussion Paper (Working Paper)|
|Subjects:||Q Science > QA Mathematics|
|Divisions:||Faculty of Science > Statistics|
|Library of Congress Subject Headings (LCSH):||DNA microarrays, Time-series analysis, Genes -- Mathematical models|
|Series Name:||Working papers|
|Publisher:||University of Warwick. Centre for Research in Statistical Methodology|
|Place of Publication:||Coventry|
|Number of Pages:||18|
|Status:||Not Peer Reviewed|
|Access rights to Published version:||Open Access|
Affymetrix (2001), Guidelines for assessing data quality, Affymetrix Inc, Santa Clara, CA.
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