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Improved Algorithms for Bicluster Editing (2009)

Abstract
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. 1

Publication details
Download http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.145.6909
Source http://theinf1.informatik.uni-jena.de/publications/bicluster-editing-tamc08.pdf
Contributors CiteSeerX
Repository CiteSeerX - Scientific Literature Digital Library and Search Engine (United States)
Type text
Language English
Relation 10.1.1.21.3797, 10.1.1.128.1289, 10.1.1.10.3857, 10.1.1.10.4013, 10.1.1.133.9434, 10.1.1.85.8411, 10.1.1.146.1291, 10.1.1.62.3483