首页> 外文期刊>Biology of blood and marrow transplantation: journal of the American Society for Blood and Marrow Transplantation >HapLogic: A Predictive Human Leukocyte Antigen-Matching Algorithm to Enhance Rapid Identification of the Optimal Unrelated Hematopoietic Stem Cell Sources for Transplantation
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HapLogic: A Predictive Human Leukocyte Antigen-Matching Algorithm to Enhance Rapid Identification of the Optimal Unrelated Hematopoietic Stem Cell Sources for Transplantation

机译:HapLogic:一种预测性人类白细胞抗原匹配算法,可增强快速识别最佳无关造血干细胞移植的快速识别

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摘要

The search for a suitable human leukocyte antigen (HLA)-matched unrelated adult stem cell donor (URD) or umbilical cord blood unit (UCB) is a complex process. The National Marrow Donor Program (NMDP) developed a search algorithm known as HapLogic, which is currently provided within the NMDP Traxis application. The HapLogic algorithm has been in use since 2006 and has advanced URD/UCB HLA-matching technology. The algorithm has been shown to have high predictive accuracy, which can streamline URD/UCB selection and drive efficiencies in the search process to the benefit of the stem cell transplantation community. Here, we describe the fundamental components of the NMDP matching algorithm, output, validation, and future directions. (C) 2016 American Society for Blood and Marrow Transplantation.
机译:寻找合适的人白细胞抗原(HLA)匹配的无关成人干细胞供体(URD)或脐带血单位(UCB)是一个复杂的过程。国家骨髓捐献者计划(NMDP)开发了一种称为HapLogic的搜索算法,该算法目前在NMDP Traxis应用程序中提供。 HapLogic算法自2006年以来一直在使用,并且具有先进的URD / UCB HLA匹配技术。该算法具有较高的预测精度,可以简化URD / UCB选择并提高搜索过程的效率,从而造福干细胞移植社区。在这里,我们描述了NMDP匹配算法的基本组成部分,输出,验证和将来的方向。 (C)2016美国血液和骨髓移植学会。

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