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A Multivariate Prediction Model For Microarray Cross-Hybridization, Yian A. Chen, Cheng-Chung Chou, Xinghua Lu, Elizabeth H. Slate, Konan Peck, Wenying Xu, Eberhand O. Voit, Jonas S. Almeida

MUSC Faculty Journal Articles

Background: Expression microarray analysis is one of the most popular molecular diagnostic techniques in the post-genomic era. However, this technique faces the fundamental problem of potential cross-hybridization. This is a pervasive problem for both oligonucleotide and cDNA microarrays; it is considered particularly problematic for the latter. No comprehensive multivariate predictive modeling has been performed to understand how multiple variables contribute to (cross-) hybridization. Results: We propose a systematic search strategy using multiple multivariate models [multiple linear regressions, regression trees, and artificial neural network analyses (ANNs)] to select an effective set of predictors for hybridization. We validate this approach on a …