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Preferred analysis methods for Affymetrix GeneChips. II. An expanded,balanced, wholly-defined spike-in dataset
Authors:Qianqian Zhu  Jeffrey C Miecznikowski  " target="_blank">Marc S Halfon
Institution:(1) Department of Biochemistry, State University of New York at Buffalo, Buffalo, NY 14214, USA;(2) Department of Biostatistics, State University of New York at Buffalo, Buffalo, NY 14214, USA;(3) Department of Biology, State University of New York at Buffalo, Buffalo, NY 14260, USA;(4) New York State Center of Excellence in Bioinformatics and the Life Sciences, Buffalo, NY 14203, USA;(5) Department of Biostatistics, Roswell Park Cancer Institute, Buffalo, NY 14263, USA;(6) Department of Molecular and Cellular Biology, Roswell Park Cancer Institute, Buffalo, NY 14263, USA;(7) Current Address: Center for Human Genome Variation, Duke University, Durham, NC 27708, USA
Abstract:

Background  

Concomitant with the rise in the popularity of DNA microarrays has been a surge of proposed methods for the analysis of microarray data. Fully controlled "spike-in" datasets are an invaluable but rare tool for assessing the performance of various methods.
Keywords:
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