首页> 外国专利> PROTEIN CLASS ACCURACY IMPROVING METHOD USING MULTIPLE REFERENCE IMAGES IN PROTEIN 2-DE IMAGE SPOT-MATCHING OPERATIONS

PROTEIN CLASS ACCURACY IMPROVING METHOD USING MULTIPLE REFERENCE IMAGES IN PROTEIN 2-DE IMAGE SPOT-MATCHING OPERATIONS

机译:蛋白质2-DE图像斑点匹配操作中使用多个参考图像的蛋白质类准确性改进方法

摘要

A method for supplying accurate protein class in protein 2-DE(2-dimensional electrophoresis) image spot-matching operations is provided to improve accuracy of spot matching and remove errors effectively by using multiple reference images, so that the method is useful for accurate quantitative analysis of disease dependent proteins. A method for supplying accurate protein class in protein 2-DE image spot-matching operations comprises the steps of: selecting multiple reference images based on spot numbers contained in the 2-DE image as quality index; repeatedly performing spot matching for the selected reference images to construct pair transaction database and protein class database; classifying the pairs contained in the pair transaction database into frequent 1-pair class and an error 1-pair class according to the delta-purification algorithm; filtering the error 1-pair class in the protein class database according to the filtering algorithm to remove pairs of the error 1-pair class from the protein class database; removing contradiction generated between the purified protein classes generated by the filtering; and selecting protein classes having a minimum support value as a predetermined critical support value in the protein classes.
机译:提供了一种在蛋白质2-DE(二维电泳)图像斑点匹配操作中提供准确蛋白质类别的方法,以提高斑点匹配的准确性,并通过使用多个参考图像有效地消除错误,因此该方法对于精确定量很有用。疾病依赖蛋白的分析。一种在蛋白质2-DE图像斑点匹配操作中提供准确蛋白质类别的方法,包括以下步骤:基于2-DE图像中包含的斑点编号作为质量指标选择多个参考图像;对所选参考图像重复进行点匹配,以构建配对交易数据库和蛋白质类数据库;根据增量纯化算法,将交易对数据库中包含的交易对分为频繁的一对对和错误的一对对。根据过滤算法在蛋白质类数据库中过滤错误1对类,从蛋白质类数据库中删除错误1对类对。消除由过滤产生的纯化蛋白类别之间产生的矛盾;选择具有最小支持值的蛋白类别作为预定的关键支持值。

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