Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Compressive Sensing DNA Microarrays | Hindawi Publishing Corporation EURASIP Journal on Bioinformatics and Systems Biology Volume 2009 Article ID 162824 12 pages doi 2009 162824 Research Article Compressive Sensing DNA Microarrays Wei Dai 1 Mona A. Sheikh 2 Olgica Milenkovic 1 and Richard G. Baraniuk2 1 Coordinated Science Laboratory University of Illinois at Urbana-Champaign Urbana IL 61801 USA 2 Department of Electrical and Computer Engineering Rice University Houston TX 77005 USA Correspondence should be addressed to Wei Dai and Olgica Milenkovic milenkov@ Received 30 July 2008 Accepted 23 October 2008 Recommended by Ulisses Braga-Neto Compressive sensing microarrays CSMs are DNA-based sensors that operate using group testing and compressive sensing CS principles. 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 set of targets. We study the problem of designing CSMs that simultaneously account for both the constraints from CS theory and the biochemistry of probe-target DNA hybridization. An appropriate cross-hybridization model is proposed for CSMs and several methods are developed for probe design and CS signal recovery based on the new model. Lab experiments suggest 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 out-of-equilibrium datasets are usually as accurate as those obtained from equilibrium conditions. Consequently one can use CSMs in applications in which only short hybridization times are allowed. Copyright 2009 Wei Dai et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 1. Introduction Accurate identification of large numbers of genetic sequences in an .
