Viral load inference of high dynamic range signals using non-adaptive pooled testing

被引:0
|
作者
Sheikh, Mansoor [1 ]
Saad, David [1 ]
机构
[1] Aston Univ, Nonlinear & Complex Res Grp, Birmingham B4 7ET, England
基金
英国工程与自然科学研究理事会;
关键词
pooled testing; high dynamic range; message passing; noise models; SUM; SPARSE;
D O I
10.1088/1402-4896/adab39
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
Medical diagnostic testing can be made significantly more efficient using pooled testing protocols. These typically require a sparse infection signal and use either binary or real-valued entries of O(1) . However, existing methods do not allow for inferring viral loads which span many orders of magnitude. We develop a message passing algorithm coupled with a PCR (Polymerase Chain Reaction) specific noise function to allow accurate inference of realistic viral load signals. A version of the Combinatorial Orthogonal Matching Pursuit algorithm is employed to compare the obtained inference results with those of our probabilistic message passing. This work is in the non-adaptive setting and could open the possibility of efficient screening where viral load determination is clinically important.
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页数:15
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