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作者机构:Max Planck Inst Informat D-66123 Saarbrucken Germany
出 版 物:《METHODS OF INFORMATION IN MEDICINE》 (Methods Inf. Med.)
年 卷 期:2005年第44卷第3期
页 面:405-407页
核心收录:
学科分类:1204[管理学-公共管理] 1001[医学-基础医学(可授医学、理学学位)] 0812[工学-计算机科学与技术(可授工学、理学学位)] 10[医学]
主 题:microarray image analysis spot identification intensity extraction validation procedures
摘 要:Objectives: We characterize typical problems encountered in microarray image analysis and present algorithmic approaches dealing with background estimation, spot identification and intensity extraction. Validation of the quality of resulting measurements is discussed. Methods: We describe sources for errors in microarray images and present algorithms that have been specifically developed to deal with such experimental imperfections. Results: For the image analysis of hybridization experiments, discriminating spot regions from a background is the most critical step. Spot shape detection algorithms, intensity histogram methods and hybrid approaches have been proposed. The correctness of final intensity estimates is difficult to verify. Nevertheless, the application of sophisticated algorithms provides a significant reduction of the possible information loss. Conclusions. The initial analysis step for array hybridization experiments is the estimation of expression intensities. The quality of this process is crucial for the validity of interpretations from subsequent analysis steps.