TY - GEN

T1 - Improved parameterized algorithms for network query problems

AU - Pinter, Ron Y.

AU - Shachnai, Hadas

AU - Zehavi, Meirav

N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2014.

PY - 2014/1/1

Y1 - 2014/1/1

N2 - In the PARTIAL INFORMATION NETWORK QUERY (PINQ) problem, we are given a host graph H, and a pattern P whose topology is partially known. We seek a subgraph of H that resembles P. PINQ is a generalization of Subgraph Isomorphism, where the topology of P is known, and Graph Motif, where the topology of P is unknown. This generalization has important applications to bioinformatics, since it addresses the major challenge of analyzing biological networks in the absence of certain topological data. In this paper, we use a non-standard part-algebraic/part-combinatorial hybridization strategy to develop an exact parameterized algorithm as well as an FPT-approximation scheme for PINQ, allowing near resemblance between H and P. We thus unify and significantly improve previous results related to network queries.

AB - In the PARTIAL INFORMATION NETWORK QUERY (PINQ) problem, we are given a host graph H, and a pattern P whose topology is partially known. We seek a subgraph of H that resembles P. PINQ is a generalization of Subgraph Isomorphism, where the topology of P is known, and Graph Motif, where the topology of P is unknown. This generalization has important applications to bioinformatics, since it addresses the major challenge of analyzing biological networks in the absence of certain topological data. In this paper, we use a non-standard part-algebraic/part-combinatorial hybridization strategy to develop an exact parameterized algorithm as well as an FPT-approximation scheme for PINQ, allowing near resemblance between H and P. We thus unify and significantly improve previous results related to network queries.

UR - http://www.scopus.com/inward/record.url?scp=84920040463&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-13524-3_25

DO - 10.1007/978-3-319-13524-3_25

M3 - Conference contribution

AN - SCOPUS:84920040463

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 294

EP - 306

BT - Parameterized and Exact Computation - 9th International Symposium, IPEC 2014, Revised Selected Papers

A2 - Cygan, Marek

A2 - Heggernes, Pinar

PB - Springer Verlag

T2 - 9th International Symposium on Parameterized and Exact Computation, IPEC 2014

Y2 - 10 September 2014 through 12 September 2014

ER -