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ON RECOVERY OF SPARSE SIGNALS IN COMPRESSED DNA MICROARRAYS

机译:压缩DNA微阵列中稀疏信号的恢复

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Currently, DNA microarrays comprising tens of thousands of probe spots are employed to test entire genomes in a single experiment Typically, each microarray spot contains a large number of copies of a single probe, and hence collects only a single data point. This is a wasteful use of the sensing resources in comparative DNA microarray experiments, where a test sample is measured relative to a reference sample. Since only a small fraction of the total number of genes represented by the two samples is differentially expressed, a large fraction of a microarray does not provide any useful information. To this end, in this paper we consider an alternative microarray design wherein each spot is a composite of several different probes, and the total number of spots is potentially much smaller than the number of genes being tested. Fewer spots directly translates to significantly lower costs due to cheaper array manufacturing, simpler image acquisition and processing, and smaller amount of genomic material needed for experiments. To recover signals from compressed microarray measurements, we leverage ideas from compressive sampling. Experimental verification of the proposed methodology is presented.
机译:目前,使用成千上万的探针斑点的DNA微阵列通常在单个实验中测试整个基因组,通常,每个微阵列斑点包含大量探针的副本,因此仅收集单个数据点。这是对比较DNA微阵列实验中的感测资源的浪费使用,其中测试样品相对于参考样品测量。由于两种样品所代表的基因的总数的仅小部分被差异地表达,因此大部分的微阵列不提供任何有用的信息。为此,在本文中,考虑一种替代的微阵列设计,其中每个光点是几种不同探针的复合物,并且斑点的总数可能远小于所测试的基因数量。由于更便宜的阵列制造,更简单的图像采集和处理,以及实验所需的较少量的基因组材料,较少的斑点直接转化为显着降低的成本。为了从压缩的微阵列测量中恢复信号,我们利用压缩采样的想法。提出了拟议方法的实验验证。

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