Genetic Regulatory Networks: A Nonlinear Signal Processing Perspective - Nonlinear Signal and Image Processing: Theory, Methods and Applications - page 520

differences in both tumors and vascular specific gene expression in de novo CD5+
and CD5

−

diffuse large B-cell lymphomas, Cancer Res. , 63, 60-66, 2003.

15. M. Anthony and N. Biggs, Computational Learning Theory, Cambridge, U.K.: Cam-

bridge University Press, 1992.

16. L. Ljung, System Identification: Theory for the User, Englewood Clifts, NJ: Prentice-

Hall, 1999.

17. S.A. Kauffman, Metabolic stability and epigenesis in randomly constructed ge-

netic nets, J. Theor. Biol., 22, 437-467, 1969.

18. S.A. Kauffman, Homeostasis and differentiation in random genetic control net-

works, Nature, 224, 177-178, 1969.

19. K. Glass and S.A. Kauffman, The logical analysis of continuous, non-linear bio-

chemical control networks, J. Theor. Biol., 39, 103-129, 1973.

20. S.A. Kauffman, The large scale structure and dynamics of genetic control circuits:

an ensemble approach, J. Theor. Biol., 44, 167-190, 1974.

21. S.A. Kauffman, The Origins of Order: Self-Organization and Selection in Evolution,

New York: Oxford University Press, 1993.

22. S. Huang, Gene expression profiling, genetic networks, and cellular states: an

integrating concept for tumorigenesis and drug discovery, J. Mol. Med., 77, 469-
480, 1999.

23. R. Somogyi and C. Sniegoski, Modeling the complexity of gene networks: un-

derstanding multigenic and pleiotropic regulation, Complexity, 1, 45-63, 1996.

24. Z. Szallasi and S. Liang, Modeling the normal and neoplastic cell cycle with

“realistic boolean genetic networks”: their application for understanding car-
cinogenesis and assessing therapeutic strategies, Pac. Symp. Biocomput., 3, 66-76,
1998.

25. A. Wuensche, genomic regulation modeled as a network with basins of attraction,

Pac. Symp. Biocomput., 3, 89-102, 1998.

26. R. Thomas, D. Thieffry, and M. Kaufman, Dynamical behavior of biological reg-

ulatory networks. I. Biological role of feedback loops and practical use of the
concept of the loop-characteristic state, Bull. Math. Biol., 57, 247-276, 1995.

27. P. Smolen, D. Baxter, and J. Byrne, Mathematical modeling of gene networks,

Neuron, 26, 567-580, 2000.

28. J. Hasty, D. McMillen, F. Isaacs, and J.J. Collins, Computational studies of gene

regulatory networks: in numero molecular biology, Nat. Rev. Genet., 2, 268-279,
2001.

29. H. de Jong, Modeling and simulation of genetic regulatory systems: a literature

review, J. Computational Biol., 9(1), 69-103, 2002.

30. S.A. Kauffman, At Home in the Universe, New York: Oxford University Press, 1995.

31. S.A. Kauffman, Investigations, New York: Oxford University Press, 2000.

32. S. Huang, Genomics, complexity and drug discovery: insights from Boolean

network models of cellular regulation, Pharmacogenomics, 2(3), 203-222, 2001.

33. M.C. MacLeod, A possible role in chemical carcinogenesis for epigenetic, herita-

ble changes in gene expression, Mol. Carcinogenesis, 15, 241-250, 1996.

34. P. Wendt, E. Coyle, and N. Gallagher, Stack filters, IEEE Trans. Acoust. Speech

Signal Process., 34, 898-911, 1986.

35. J.P. Fitch, E.J. Coyle, and N. Gallagher, Median filtering by threshold decompo-

sition, IEEE Trans. Acoust. Speech Signal Process., 32(6), 1183-1188, 1984.

36. J.W. Tukey, Exploratory Data Analysis, Reading, MA: Addison-Wesley, 1977.