Weighted superimposed codes and constrained integer compressed sensing
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory - Special issue on information theory in molecular biology and neuroscience
| Hi-index | 0.06 |
Compressive Sensing Microarrays (CSM) are DNA-based sensors that operate using the principle of compressive sensing (CS). In contrast to conventional DNA microarrays, in which each genetic sensor is designed to respond to a single target, in a CSM each sensor responds to a group of targets. We study the problem of designing CS probes that simultaneously account for both the constraints from group testing theory and the biochemistry of probe-target DNA hybridization. Our results show that, in order to achieve accurate hybridization profiling, consensus probe sequences are required to have sequence homology of at least 80\% with all targets to be detected. Furthermore, experiments show that out-of-equilibrium datasets are usually as accurate as those obtained from equilibrium conditions. Consequently, one can use CSMs in applications for which only short hybridization times are allowed.