Probabilistic nonadaptive group testing in the presence of errors and DNA library screening

被引:2
|
作者
Anthony J. Macula
机构
[1] State University of New York,Department of Mathematics
[2] College at Geneseo,undefined
关键词
05B20; 05D05; 62K99; nonadaptive group testing; minimal families of; -sets; DNA library screening; testing with errors; representatives of subsets;
D O I
10.1007/BF01609876
中图分类号
学科分类号
摘要
We use the subset containment relation to construct a probabilistic nonadaptive group testing design and decoding algorithm that, in the presence of testing errors, identifies many positives in a population. We give a lower bound for the expected portion of positives identified as a function of an upper bound on the number of testing errors.
引用
收藏
页码:61 / 69
页数:8
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