Construction of d(H)-disjunct matrix for group testing in hypergraphs
Hong Gao (),
F. K. Hwang,
My T. Thai (),
Weili Wu () and
Taieb Znati ()
Additional contact information
Hong Gao: Department of Computer Science Harbin Institute of Technology
F. K. Hwang: National Chiaotung University
My T. Thai: University of Florida
Weili Wu: University of Texas at Dallas
Taieb Znati: University of Pittsbugh
Journal of Combinatorial Optimization, 2006, vol. 12, issue 3, No 7, 297-301
Abstract:
Abstract Given a hypergraph with at most d positive edges, identify all positive edges with the minimum number of tests each of which tests on a subset of nodes, called a pool, and the outcome is positive if and only if the pool contains a positive edge. This problem is called the group testing in hypergraphs, which has been found to have many applications in molecular biology, such as the interactions between bait proteins and prey proteins, the complexes of eukaryotic DNA transcription and RNA translation. In this paper, we present a general construction for constructions of nonadaptive algorithms for group testing in hypergraphs.
Keywords: Group testing; Pooling designs; Complex; DNA library screening (search for similar items in EconPapers)
Date: 2006
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Citations: View citations in EconPapers (3)
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DOI: 10.1007/s10878-006-9634-z
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