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Báo cáo hóa học: " Extended δ-Regular Sequence for Automated Analysis of Microarray Images"

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: Extended δ-Regular Sequence for Automated Analysis of Microarray Images | Hindawi Publishing Corporation EURASIP Journal on Applied Signal Processing Volume 2006 Article ID 13623 Pages 1-11 DOI 10.1155 ASP 2006 13623 Extended Ồ-Regular Sequence for Automated Analysis of Microarray Images Hee-Jeong Jin 1 2 Bong-Kyung Chun 1 2 and Hwan-Gue Cho1 2 1 Department of Computer Engineering Pusan National University San-30 Jangjeon-dong Keumjeong-gu Pusan 609-735 South Korea 2 Research Institute of Computer Information and Communication Pusan National University San-30 Jangjeon-dong Keumjeong-gu Pusan 609-735 South Korea Received 3 May 2005 Revised 24 August 2005 Accepted 1 December 2005 Microarray study enables us to obtain hundreds of thousands of expressions of genes or genotypes at once and it is an indispensable technology for genome research. The first step is the analysis of scanned microarray images. This is the most important procedure for obtaining biologically reliable data. Currently most microarray image processing systems require burdensome manual block spot indexing work. Since the amount of experimental data is increasing very quickly automated microarray image analysis software becomes important. In this paper we propose two automated methods for analyzing microarray images. First we propose the extended 5-regular sequence to index blocks and spots which enables a novel automatic gridding procedure. Second we provide a methodology hierarchical metagrid alignment to allow reliable and efficient batch processing for a set of microarray images. Experimental results show that the proposed methods are more reliable and convenient than the commercial tools. Copyright 2006 Hee-Jeong Jin 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 Microarray is a principal technology in molecular biology because it results in hundreds and thousands of expressions of .