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Improved Algorithms for Bicluster Editing

  • Jiong Guo
  • Falk Hüffner
  • Christian Komusiewicz
  • Yong Zhang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4978)

Abstract

The NP-hard Bicluster Editing is to add or remove at most k edges to make a bipartite graph G = (V,E) a vertex-disjoint union of complete bipartite subgraphs. It has applications in the analysis of gene expression data. We show that by polynomial-time preprocessing, one can shrink a problem instance to one with 4k vertices, thus proving that the problem has a linear kernel, improving a quadratic kernel result. We further give a search tree algorithm that improves the running time bound from the trivial O(4 k  + |E|) to O(3.24 k  + |E|). Finally, we give a randomized 4-approximation, improving a known approximation with factor 11.

Keywords

Bipartite Graph Approximation Factor Improve Algorithm Fractional Packing Edit Operation 
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

  • Jiong Guo
    • 1
  • Falk Hüffner
    • 1
  • Christian Komusiewicz
    • 1
  • Yong Zhang
    • 2
  1. 1.Institut für InformatikFriedrich-Schiller-Universität JenaJenaGermany
  2. 2.Department of Mathematical SciencesEastern Mennonite UniversityHarrisonburgUSA

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