基于最大最小聚类变异技术的乳胶手套蛋白检测

2009 Innovative Technologies in Intelligent Systems and Industrial Applications Pub Date : 2009-07-25 DOI:10.1109/CITISIA.2009.5224200

H. Ting, C. Ong, K. Sim, C. Tso

{"title":"基于最大最小聚类变异技术的乳胶手套蛋白检测","authors":"H. Ting, C. Ong, K. Sim, C. Tso","doi":"10.1109/CITISIA.2009.5224200","DOIUrl":null,"url":null,"abstract":"An improvement to previously proposed maximum-minimum variation (MMV) test for protein levels quantification is reported. The additional process is artefacts segmentation in latex glove sample by using k-means clustering algorithm. The new proposed maximum-minimum clustering variation (MMCV) technique, give significantly better results in terms of consistency and accuracy than existing methods.","PeriodicalId":144722,"journal":{"name":"2009 Innovative Technologies in Intelligent Systems and Industrial Applications","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Latex glove protein detection using maximum-minimum clustering variation technique\",\"authors\":\"H. Ting, C. Ong, K. Sim, C. Tso\",\"doi\":\"10.1109/CITISIA.2009.5224200\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An improvement to previously proposed maximum-minimum variation (MMV) test for protein levels quantification is reported. The additional process is artefacts segmentation in latex glove sample by using k-means clustering algorithm. The new proposed maximum-minimum clustering variation (MMCV) technique, give significantly better results in terms of consistency and accuracy than existing methods.\",\"PeriodicalId\":144722,\"journal\":{\"name\":\"2009 Innovative Technologies in Intelligent Systems and Industrial Applications\",\"volume\":\"56 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-07-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 Innovative Technologies in Intelligent Systems and Industrial Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CITISIA.2009.5224200\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Innovative Technologies in Intelligent Systems and Industrial Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CITISIA.2009.5224200","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 1

摘要

对先前提出的蛋白水平定量的最大-最小变异(MMV)测试进行了改进。附加的步骤是使用k-means聚类算法对乳胶手套样本进行人工分割。新提出的最大最小聚类变化(MMCV)技术在一致性和准确性方面明显优于现有方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Latex glove protein detection using maximum-minimum clustering variation technique

An improvement to previously proposed maximum-minimum variation (MMV) test for protein levels quantification is reported. The additional process is artefacts segmentation in latex glove sample by using k-means clustering algorithm. The new proposed maximum-minimum clustering variation (MMCV) technique, give significantly better results in terms of consistency and accuracy than existing methods.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2009 Innovative Technologies in Intelligent Systems and Industrial Applications

自引率

0.00%

发文量