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Model-based analysis of oligonucleotide arrays: expression index computation and outlier detection
1Departments of Statistics and Human Genetics, University of California, Los Angeles, CA 90095.
Summary
This study introduces a statistical model to analyze gene expression data from high-density oligonucleotide arrays. The model addresses probe-specific biases and improves the accuracy of gene expression measurements.
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2026-06-19T13:35:28.150606+00:00