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Probe Selection with Fault Tolerance

  • Sheng-Lung Peng
  • Yu-Wei Tsay
  • Tai-Chun Wang
  • Chuan Yi Tang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5226)

Abstract

Microarray techniques play an important role for testing some reactions of diseases which are caused by viruses. Probes in microarray are one kind of the most important materials. Usually, scientists use a unique probe for marking a special target sequence. Thus, for identifying n different viruses, we need n different probes. Recently, some researchers study non-unique probes to identify viruses by using less number of probes. In this case, a virus can be identified by a combination of some probes. In this paper, we study the problem of finding a set of probes that can identify all the given targets. We consider the k-fault tolerance selection of probes. That is, if any k probes fail, then we still can identify each target. We propose a practical algorithm for this k-fault tolerance probe selection problem. Some experiments are studied on SARS, H5N1, and so on.

Keywords

Probe Selection Integer Linear Programming Fault Tolerance Target Pair Unique Probe 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Sheng-Lung Peng
    • 1
  • Yu-Wei Tsay
    • 1
  • Tai-Chun Wang
    • 1
  • Chuan Yi Tang
    • 2
  1. 1.Department of Computer Science and Information EngineeringNational Dong Hwa UniversityHualienTaiwan
  2. 2.Department of Computer ScienceNational Tsing Hua UniversityHsinchuTaiwan

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