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Abstract (2006)

Abstract
In this paper we consider the p-ary transitive reduction (TRp) problem where p> 0 is an integer; for p = 2 this problem arises in inferring a sparsest possible (biological) signal transduction network consistent with a set of experimental observations with a goal to minimize false positive inferences even if risking false negatives. Special cases of TRp have been investigated before in different contexts; the best previous results are as follows: (1) The minimum equivalent digraph problem, that correspond to a special case of TR1 with no critical edges, is known to be MAX-SNP-hard, admits a polynomial time algorithm with an approximation ratio of 1.617+ε for any constant ε> 0 [13] and can be solved in linear time for directed acyclic graphs [1]. (2) A 2-approximation algorithm exists for TR1 [9, 15]. In this paper, our contributions are as follows: • We observe that TRp, for any integer p> 0, can be solved in linear time for directed acyclic graphs using the ideas in [1]. • We provide a 1.78-approximation for TR1 that improves the 2-approximation mentioned in (2) above. • We provide a 2+o(1)-approximation for TRp on general graphs for any fixed prime p> 1.

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Download http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.64.2384
Source http://www.cs.uic.edu/~dasgupta/resume/publ/papers/binary-transitive-9-revised-4.pdf
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Language English