tailieunhanh - Báo cáo hóa học: " Research Article An MCMC Algorithm for Target Estimation in Real-Time DNA Microarrays Haris Vikalo and Mahsuni Gokdemir"

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: IResearch Article An MCMC Algorithm for Target Estimation in Real-Time DNA Microarrays Haris Vikalo and Mahsuni Gokdemir | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2010 Article ID 736301 8 pages doi 2010 736301 Research Article An MCMC Algorithm for Target Estimation in Real-Time DNA Microarrays Haris Vikalo and Mahsuni Gokdemir Department of Electrical and Computer Engineering The University of Texas Austin TX 78712-0240 USA Correspondence should be addressed to Haris Vikalo hvikalo@ Received 1 February 2010 Accepted 15 July 2010 Academic Editor Harri Lahdesmaki Copyright 2010 H. Vikalo and M. Gokdemir. 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. DNA microarrays detect the presence and quantify the amounts of nucleic acid molecules of interest. They rely on a chemical attraction between the target molecules and their Watson-Crick complements which serve as biological sensing elements probes . The attraction between these biomolecules leads to binding in which probes capture target analytes. Recently developed realtime DNA microarrays are capable of observing kinetics of the binding process. They collect noisy measurements of the amount of captured molecules at discrete points in time. Molecular binding is a random process which in this paper is modeled by a stochastic differential equation. The target analyte quantification is posed as a parameter estimation problem and solved using a Markov Chain Monte Carlo technique. In simulation studies where we test the robustness with respect to the measurement noise the proposed technique significantly outperforms previously proposed methods. Moreover the proposed approach is tested and verified on experimental data. 1. Introduction Molecular biosensors 1 are devices that contain a biological sensing element closely coupled with a transducer. They measure interaction of biomolecules of interest target analytes .