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Repair and Prediction (under Inconsistency) in Large Biological Networks with Answer Set Programming

Martin Gebser 1 Carito Guziolowski 2 Mihail Ivanchev 1 Torsten Schaub 1 Anne Siegel 2 Philippe Veber 3 Sven Thiele 1
1 University of Potsdam
2 SYMBIOSE - Biological systems and models, bioinformatics and sequences
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
3 IC UM3 (UMR 8104 / U1016) - Institut Cochin
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Conference papers
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https://hal.inria.fr/inria-00538137
Contributor : Anne Siegel <>
Submitted on : Sunday, November 21, 2010 - 6:22:52 PM
Last modification on : Tuesday, June 15, 2021 - 4:26:59 PM

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  • HAL Id : inria-00538137, version 1

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CNRS | INRIA | UNIV-RENNES1 | IRISA | UNIV-PARIS5 | IRISA-D7 | USPC | UR1-UFR-ISTIC | UNIV-RENNES | INSA-GROUPE | UNIV-PARIS | UP-SANTE | INSA-RENNES | EC-PARIS

Citation

Martin Gebser, Carito Guziolowski, Mihail Ivanchev, Torsten Schaub, Anne Siegel, et al.. Repair and Prediction (under Inconsistency) in Large Biological Networks with Answer Set Programming. Principles of Knowledge Representation and Reasoning, 2010, Toronto, Canada. ⟨inria-00538137⟩

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