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KR
2010
Springer

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

14 years 3 months ago
Repair and Prediction (under Inconsistency) in Large Biological Networks with Answer Set Programming
We address the problem of repairing large-scale biological networks and corresponding yet often discrepant measurements in order to predict unobserved variations. To this end, we propose a range of different operations for altering experimental data and/or a biological network in order to reestablish their mutual consistency—an indispensable prerequisite for automated prediction. For accomplishing repair and prediction, we take advantage of the distinguished modeling and reasoning capacities of Answer Set Programming. We validate our framework by an empirical study on the widely investigated organism Escherichia coli.
Martin Gebser, Carito Guziolowski, Mihail Ivanchev
Added 19 Jul 2010
Updated 19 Jul 2010
Type Conference
Year 2010
Where KR
Authors Martin Gebser, Carito Guziolowski, Mihail Ivanchev, Torsten Schaub, Anne Siegel, Sven Thiele, Philippe Veber
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