Semiquantitative Group Testing in at Most Two Rounds

Semiquantitative Group Testing in at Most Two Rounds
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DOI:
10.1109/isit45174.2021.9518270
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发表时间:
2021-02
期刊:
2021 IEEE International Symposium on Information Theory (ISIT)
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通讯作者:
Mahdi Cheraghchi;Ryan Gabrys;O. Milenkovic
Mahdi Cheraghchi;Ryan Gabrys;O. Milenkovic
中科院分区:
其他
文献类型:
--
作者:
Mahdi Cheraghchi;Ryan Gabrys;O. Milenkovic

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半定量分组测试(SQGT)是一种汇总方法,其中测试结果表示缺陷数量的有界区间。或者,它可以被视为具有量化输出的加法器通道。SQGT是Covid-19群体检测的自然选择,因为它可以直接解释聚合酶链反应(PCR)产生的循环阈值。SQGT之前的工作没有解决实践中需要的少量轮次的自适应测试的需求。我们提出了概念上简单的方法,两轮和非自适应SQGT显着改善现有的计划,通过使用基于扩展图和列表析取矩阵的非二进制测量矩阵的想法。
Semiquantitative group testing (SQGT) is a pooling method in which the test outcomes represent bounded intervals for the number of defectives. Alternatively, it may be viewed as an adder channel with quantized outputs. SQGT represents a natural choice for Covid-19 group testing as it allows for a straightforward interpretation of the cycle threshold values produced by polymerase chain reactions (PCR). Prior work on SQGT did not address the need for adaptive testing with a small number of rounds as required in practice. We propose conceptually simple methods for two-round and nonadaptive SQGT that significantly improve upon existing schemes by using ideas on nonbinary measurement matrices based on expander graphs and list-disjunct matrices.