Graph-Based Algorithms for Boolean Function Manipulation
IEEE Transactions on Computers
Principles of artificial intelligence
Principles of artificial intelligence
Issues in reasoning about interaction networks in cells: necessity of event ordering knowledge
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
Planning interventions in biological networks
ACM Transactions on Intelligent Systems and Technology (TIST)
The Benefit of Decomposing POMDP for Control of Gene Regulatory Networks
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 02
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Modeling the dynamics of cellular processes has recently become a important research area of many disciplines. One of the most important reasons to model a cellular process is to enable highthroughput in-silico experiments that attempt to predict or intervene in the process. These experiments can help accelerate the design of therapies through their cheap replication and alteration. While some techniques exist for reasoning with cellular processes, few take advantage of the flexible and scalable algorithms popularized in AI research. In this domain, where scalability is crucial for feasible application, we apply AI planning based search techniques and demonstrate their advantage over existing enumerative methods.