When Should One Subtract Background Fluorescence in cDNA Microarrays?

Robert Scharpf, Christine Iacobuzio-Donahue and Giovanni Parmigiani
Additional contact information
Robert Scharpf: Johns Hopkins Bloomberg School of Public Health, Department of Biostatistics
Christine Iacobuzio-Donahue: Johns Hopkins University School of Medicine, Department of Pathology
Giovanni Parmigiani: Johns Hopkins University, Department of Oncology and Department of Biostatistics

No 1050, Johns Hopkins University Dept. of Biostatistics Working Paper Series from Berkeley Electronic Press

Abstract: Complementary DNA (cDNA) microarrays are a powerful tool for genomic analysis, but have noise components that make inferences regarding gene expression inefficient and potentially misleading. Background fluorescence, whether attributable to non-specific binding or other sources, is an important component of noise. The decision to subtract background fluorescence from foreground signal has been controversial, with no clear criteria for determining circumstances that may favor, or disfavor, background correction. While it is generally accepted that subtracting background reduces bias but ncreases variance in the estimates of the ratios of interest,no formal analysis of the bias-variance trade off of background subtraction has been undertaken. In this paper, we use simulation to systematically examine the bias-variance trade off under a variety of possible experimental conditions. Our simulation is based on data obtained from a self versus self microarray experiment and is free of distributional assumptions. Our results identify factors that are important for determining whether to background subtract,including the correlation of foreground to background signal. Using these results we develop recommendations for diagnostic visualizations that can help decisions about background subtraction.

Date: 2004-08-20
Note: oai:bepress.com:jhubiostat-1050
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.bepress.com/cgi/viewcontent.cgi?article=1050&context=jhubiostat (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bep:jhubio:1050

Access Statistics for this paper

More papers in Johns Hopkins University Dept. of Biostatistics Working Paper Series from Berkeley Electronic Press
Bibliographic data for series maintained by Christopher F. Baum ().