Adaptive Gene Picking with Microarray Data: Detecting Important Low Abundance Signals

Abstract

DNA microarrays to evaluate gene expression present tremendous opportunities for understanding complex biological processes. However, important genes, such as transcription factors and receptors, are expressed at low levels, potentially leading to negative values after adjusting for background. These low-abundance transcripts have previously been ignored or… (More)

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