2-stage fault tolerant interval group testing

作者: Ferdinando Cicalese , José Augusto Amgarten Quitzau

DOI: 10.1007/978-3-540-77120-3_74

关键词: Discrete mathematicsSet (abstract data type)Group testingMathematicsCombinatoricsInterval (graph theory)Fault toleranceDegree (graph theory)

摘要: We study the following fault tolerant variant of interval group testing model: Given four positive integers n, p, s, e, determine minimum number questions needed to identify a (possibly empty) set P ⊆ {1, 2,..., n} (|P| ≤ p), under constraints. Questions have form "Is I∩P ≠= O", where I can be any in 2..., n}. are organized s batches non-adaptive (stages), i.e, given batch formulated relying only on information gathered with answers previous batches. Up e erroneous or lies. The is motivated by several applications. remarkably, problem identifying splice sites genome. In particular, such application motivates focus algorithms that some degree and organize few stages, i.e., cases when small, typically not larger than 2. To best our knowledge, we first consider strategies for testing. We completely characterize fully situation provide tight bounds case two strategies. Our differ factor √11/10 p = 1 at most 2 general case.

参考文章(20)
Pavel A. Pevzner, Computational Molecular Biology The MIT Press. ,(2000) , 10.7551/MITPRESS/2022.001.0001
Ding-Zhu Du, Frank Kwang Hwang, Combinatorial Group Testing and Its Applications ,(1993)
Sebastian Böcker, Matthias C. Letzel, Zsuzsanna Lipták, Anton Pervukhin, Decomposing Metabolomic Isotope Patterns Lecture Notes in Computer Science. ,vol. 4175, pp. 12- 23 ,(2006) , 10.1007/11851561_2
Ferdinando Cicalese, Peter Damaschke, Ugo Vaccaro, Optimal Group Testing Strktegies with Interval Queries and Their Application to Splice Site Detection Lecture Notes in Computer Science. ,vol. 3515, pp. 1029- 1037 ,(2005) , 10.1007/11428848_130
Ferdinando Cicalese, Peter Damaschke, Libertad Tansini, Sören Werth, Overlaps help: Improved bounds for group testing with interval queries Discrete Applied Mathematics. ,vol. 155, pp. 288- 299 ,(2007) , 10.1016/J.DAM.2006.07.002
Milton Sobel, Phyllis A. Groll, Group Testing To Eliminate Efficiently All Defectives in a Binomial Sample Bell System Technical Journal. ,vol. 38, pp. 1179- 1252 ,(1959) , 10.1002/J.1538-7305.1959.TB03914.X
E.S. Hong, R.E. Ladner, Group testing for image compression IEEE Transactions on Image Processing. ,vol. 11, pp. 901- 911 ,(2002) , 10.1109/TIP.2002.801124
Ferdinando Cicalese, Peter Damaschke, Ugo Vaccaro, Optimal group testing algorithms with interval queries and their application to splice site detection International Journal of Bioinformatics Research and Applications. ,vol. 1, pp. 363- 388 ,(2005) , 10.1504/IJBRA.2005.008441
E. Knill, Lower bounds for identifying subset members with subset queries symposium on discrete algorithms. pp. 369- 377 ,(1995) , 10.5555/313651.313767
Yao-Win Hong, A. Scaglione, Group testing for sensor networks: the value of asking the right questions asilomar conference on signals, systems and computers. ,vol. 2, pp. 1297- 1301 ,(2004) , 10.1109/ACSSC.2004.1399362