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A computer algebra approach to biological systems
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Source International Conference on Symbolic and Algebraic Computation archive
Proceedings of the 2003 international symposium on Symbolic and algebraic computation table of contents
Philadelphia, PA, USA
Pages: 5 - 6  
Year of Publication: 2003
ISBN:1-58113-641-2
Author
Reinhard Laubenbacher  Virginia Bioinformatics Institute, Blacksburg, VA
Sponsors
SIGSAM: ACM Special Interest Group on Symbolic and Algebraic Manipulation
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
Bibliometrics
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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K. Duca, A. Blumer, M. Locuta, and J. Fleming. MHV recombination in vitro and in silico. Proc. Second Intl. Conf. Systems Biology, pages 49--50, 2001.
 
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L. Garcia, A. Jarrah, , and R. Laubenbacher. Classification of finite dynamical systems. preprint.
 
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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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L. Robbiano. Groebner bases and statistics. in Groebner bases and applications, 1998.

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