| A computer algebra approach to biological systems |
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International Conference on Symbolic and Algebraic Computation
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Proceedings of the 2003 international symposium on Symbolic and algebraic computation
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Philadelphia, PA, USA
Pages: 5 - 6
Year of Publication: 2003
ISBN:1-58113-641-2
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Downloads (6 Weeks): 2, Downloads (12 Months): 28, Citation Count: 2
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ABSTRACT
This paper focuses on dynamic networks over finite fields and applications to the modeling and analysis of biological networks using tools from computer algebra, in particular gene regulatory networks, and agent-based simulations of processes in computational immunology.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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L. Garcia, M. Stillman, and B. Sturmfels. The algebraic geometry of bayesian networks. Proc. of MEGA 2003, in press.
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E. Green. On polynomial solutions to reverse-engineering problems. preprint.
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R. Laubenbacher, J. Shah, and B. Stigler. Simulation of polynomial systems. in J.G. Anderson and M. Katzper (eds.) Simulation in the Health and Medical Sciences, San Diego, in press.
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R. Laubenbacher and B. Stigler. Dynamic networks. preprint.
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R. Laubenbacher and B. Stigler. Polynomial models for biochemical networks. preprint.
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G. Pistone, E. Riccomagno, and H. Wynn. 2000.
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