Biomedical Engineering Reference
In-Depth Information
10. REFERENCES
1. Chignola R, Schenetti A, Chiesa E, Foroni R, Sartoris S, Brendolan A, Tridente G, Andrighetto
G, Liberati D. 1990. Oscillating growth patterns of multicellular tumour spheroids. Cell Prolif
32 :39-48.
2. Coffey DS. 1998. Self-organization, complexity and chaos: the new biology for medicine.
Nature Med 4 :882-885.
3. Deisboeck TS, Berens ME, Kansal AR, Torquato S, Stemmer-Rachamimov AO, Chiocca EA.
2001. Pattern of self-organization in tumor systems: complex growth dynamics in a novel brain
tumor spheroid model. Cell Prolif 34 :115-134.
4. Gonzalez-Garcia I, Sole RI, Costa J. 2002. Metapopulation dynamics and spatial heterogeneity
in cancer. PNAS 99 :13085-13089.
5. Waliszewski P, Molski M, Konarski J. 1998. On the holistic approach in cellular and cancer
biology: nonlinearity, complexity, and quasi determination of the dynamic network. J Surg
Oncol 68 :70-78.
6. Mansury Y, Kimura M, Lobo J, Deisboeck TS. 2002. Emerging patterns in tumor systems:
simulating the dynamics of multicellular clusters with an agent-based spatial agglomeration
model. J Theor Biol 219 :343-370.
7. Mansury Y, Deisboeck TS. 2003. The impact of "search precision" in an agent-based tumor
model. J Theor Biol 224 :325-337.
8. Mansury Y, Deisboeck TS. 2004. Simulating "structure-function" patterns of malignant brain
tumors. Physica A 331 :219-232.
9. Mansury Y, Deisboeck TS. 2004. Simulating the time series of a selected gene expression
profile in an agent-based tumor model. Physica D 196 :193-204.
10. Kansal AR, Torquato S, Chiocca EA, Deisboeck TS. 2000. Emergence of a subpopulation in a
computational model of tumor growth. J Theor Biol 207 :431-441.
11. Giese A, Loo MA, Tran N, Haskett D, Coons S, Berens ME. 1996a. Dichotomy of astrocytoma
migration and proliferation. Intl J Cancer 67 :275-282.
12. Mariani L, Beaudry C, McDonough WS, Hoelzinger DB, Demuth T, Ross KR, Berens T,
Coons SW, Watts G, Trent JM, Wei JS, Giese A, Berens ME. 2001. Glioma cell motility is as-
sociated with reduced transcription of proapoptotic and proliferation genes: a cDNA microar-
ray analysis. J Neuro-Oncol 53 :161-176.
13.
Ermentrout GB, Edelstein-Keshet L. 1993. Cellular automata approaches to biological model-
ing. J Theor Biol 160 :97-133.
14.
Kauffman S. 1984. Emergent properties in random complex automata. Physica D 10 :145-156.
15.
Wolfram S. 1984. Cellular automaton as models of complexity. Nature 311 :419-424.
16.
Kauffman S. 1990. The origins of order . Oxford UP, New York.
17.
Forest S. 1990. Emergent computation: self-organizing, collective, and cooperative phenomena
in natural and artificial computing networks. Physica D 42 :1-11.
18.
Duechting W, Vogelsaenger T. 1983. Aspects of modelling and simulating tumor growth and
treatment. J Cancer Res Clin Oncol 105 :1-12.
19.
Chowdhury D, Sahimi M, Stauffer D. 1991. A discrete model for immune surveillance, tumour
immunity and cancer. J Theor Biol 152 :263-270.
20.
Qi A-S, Zheng X, Du C-Y, An B-S. 1993. A cellular automaton model of cancerous growth. J
Theor Biol 161 :1-12.
21.
Smolle J, Stettner H. 1993. Computer simulation of tumor cell invasion by a stochastic growth
model. J Theor Biol 160 :63-72.
22.
Delsanto PP, Romano A, Scalerandi M, Pescarmona GP. 2000. Analysis of a "phase transition"
from tumor growth to latency. Phys Rev E 62 :2547-2554.
Search WWH ::




Custom Search