肾移植中低分辨率和高分辨率HLA匹配的量化算法

G. Muthu, S. Mitra
{"title":"肾移植中低分辨率和高分辨率HLA匹配的量化算法","authors":"G. Muthu, S. Mitra","doi":"10.1109/IADCC.2018.8692103","DOIUrl":null,"url":null,"abstract":"HLA matching is conventionally assessed by counting the number of MisMatches (MM) in the class I antigens and class II antigens of the donor and recipient. There is an overlap of matching scores in the MM scoring method. A numerical method has already been developed to quantify the degree of HLA matching in Low Resolution HLA matching. This study has been done to formulate an algorithm for High resolution HLA matching, with a parameter named as HLA Matching (HM) score. Mathematically, 4096 discrete values of HM score existing between 0 and 1 are obtained in 3 loci comparison for renal transplantation. Each value of HM score is unique for every possible matching combination. Donor with the highest percent HM score is considered as the best HLA matched donor. This method overcomes all the disadvantages of the conventional MM scoring method. This algorithm is useful in the donor or recipient selection and the graft survival studies.","PeriodicalId":365713,"journal":{"name":"2018 IEEE 8th International Advance Computing Conference (IACC)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Algorithm to Quantify the Low and High Resolution HLA Matching in Renal Transplantation\",\"authors\":\"G. Muthu, S. Mitra\",\"doi\":\"10.1109/IADCC.2018.8692103\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"HLA matching is conventionally assessed by counting the number of MisMatches (MM) in the class I antigens and class II antigens of the donor and recipient. There is an overlap of matching scores in the MM scoring method. A numerical method has already been developed to quantify the degree of HLA matching in Low Resolution HLA matching. This study has been done to formulate an algorithm for High resolution HLA matching, with a parameter named as HLA Matching (HM) score. Mathematically, 4096 discrete values of HM score existing between 0 and 1 are obtained in 3 loci comparison for renal transplantation. Each value of HM score is unique for every possible matching combination. Donor with the highest percent HM score is considered as the best HLA matched donor. This method overcomes all the disadvantages of the conventional MM scoring method. This algorithm is useful in the donor or recipient selection and the graft survival studies.\",\"PeriodicalId\":365713,\"journal\":{\"name\":\"2018 IEEE 8th International Advance Computing Conference (IACC)\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE 8th International Advance Computing Conference (IACC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IADCC.2018.8692103\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE 8th International Advance Computing Conference (IACC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IADCC.2018.8692103","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

HLA匹配通常是通过计算供体和受体的I类抗原和II类抗原的错配数(MM)来评估的。在MM评分方法中,匹配分数存在重叠。在低分辨率HLA匹配中,已经发展了一种量化HLA匹配程度的数值方法。本研究制定了一种高分辨率HLA匹配算法,参数为HLA匹配(HM)分数。在数学上,肾移植的3个位点比较得到HM评分存在于0 ~ 1之间的离散值4096个。HM分数的每一个值对于每一个可能的匹配组合都是唯一的。HM分数最高的供者被认为是HLA匹配最好的供者。该方法克服了传统MM评分方法的所有缺点。该算法可用于供体或受体的选择和移植物存活研究。
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
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Algorithm to Quantify the Low and High Resolution HLA Matching in Renal Transplantation
HLA matching is conventionally assessed by counting the number of MisMatches (MM) in the class I antigens and class II antigens of the donor and recipient. There is an overlap of matching scores in the MM scoring method. A numerical method has already been developed to quantify the degree of HLA matching in Low Resolution HLA matching. This study has been done to formulate an algorithm for High resolution HLA matching, with a parameter named as HLA Matching (HM) score. Mathematically, 4096 discrete values of HM score existing between 0 and 1 are obtained in 3 loci comparison for renal transplantation. Each value of HM score is unique for every possible matching combination. Donor with the highest percent HM score is considered as the best HLA matched donor. This method overcomes all the disadvantages of the conventional MM scoring method. This algorithm is useful in the donor or recipient selection and the graft survival studies.
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
自引率
0.00%
发文量
0
期刊最新文献
Discovering Motifs in DNA Sequences: A Suffix Tree Based Approach Prediction Model for Automated Leaf Disease Detection & Analysis Blind navigation using ambient crowd analysis HUPM: Efficient High Utility Pattern Mining Algorithm for E-Business Algorithm to Quantify the Low and High Resolution HLA Matching in Renal Transplantation
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1