arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1306.4664cs.DSmath.COq-bio.QM
收藏

一种有效的两阶段群体遗传筛选算法

Efficient Two-Stage Group Testing Algorithms for Genetic Screening

Michael Huber

摘要:

高效的两阶段组测试算法,特别适合于快速和廉价的DNA文库筛选和其他大规模的生物组测试的努力,在本文中进行了研究。主要的重点是新的组合结构,以尽量减少在第二阶段的两阶段析取测试程序的个人测试的数量。在Levenshtein(2003)和Tonchev(2008)的最新工作的基础上,提出了几个新的无限类这样的组合设计。

英文摘要:

Efficient two-stage group testing algorithms that are particularly suited for rapid and less-expensive DNA library screening and other large scale biological group testing efforts are investigated in this paper. The main focus is on novel combinatorial constructions in order to minimize the number of individual tests at the second stage of a two-stage disjunctive testing procedure. Building on recent work by Levenshtein (2003) and Tonchev (2008), several new infinite classes of such combinatorial designs are presented.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑