Accurate genomic signal recovery using compressed sensing

Microarrays are massively parallel biosensors that can simultaneously detect and quantify a large number of different genomic particles. A DNA microarray is a nucleic acid-based microarray that contains probe spots testing a multitude of targets in one experiment. Ideas from compressive sensing have been utilized in different ways in the analysis of DNA microarrays. One of the proposed methods is compressed microarrays, where each spot contains copies of several probes and the total number of spots is lower, resulting in significantly reduced costs due to cheaper array manufacturing. In this paper, we perform compressed microarray experiments with real aCGH data and demonstrate the accuracy of various recovery methods. Our experimental results suggest that the measurements that can be captured by compressed microarrays can be recovered accurately using the proposed norm-minimization methods.