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Qualitative Analysis of the Antineoplastic Immunity System on the Basis of a Decision Tree

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Cybernetics and Systems Analysis Aims and scope

Abstract

Analysis of antineoplastic immunity on the basis of a multivariative method is proposed. As a result, a decision tree for predicting the form of a pathological process is obtained. The method is implemented as a package of Java-classes.

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References

  1. A. D. Aleksandrov, A. N. Kolmogorov, and M. A. Lavrent’ev, Mathematics: Its Content, Methods, and Meaning, Dover Publications, N.Y. (1999).

  2. L. A. Segel, Mathematical Models in Molecular and Cellular Biology, CUP Archive (1980).

  3. A. Aho, J. Hopcroft, and J Ullman, The Design and Analysis of Computer Algorithms [Russian translation], Mir Moscow (1979).

  4. A. G. Nakonechnyi and V. P. Martsenyuk, “Controllability problems for differential Gompertzian dynamic equations,” Cybernetics and Systems Analysis, 40, No. 2, 252–259 (2004).

    Article  MATH  MathSciNet  Google Scholar 

  5. V. P. Martsenyuk, “On stability of immune protection model with regard for damage of target organ: The degenerate Lyapunov functionals method,” Cybernetics and Systems Analysis, 40, No. 1, 126–136 (2004).

    Article  MATH  MathSciNet  Google Scholar 

  6. V. P. Martsenyuk, “On the problem of chemotherapy scheme search based on control theory,” Journal of Automation and Information Sciences, 35, No. 4, 51–60 (2003).

    Article  MathSciNet  Google Scholar 

  7. Y. Koch, T. Wolf, P. K . Sorger, R. Eils, and B. Brars, “Decision-tree based model analysis for efficient identification of parameter relations leading to different signaling states,” PLoS ONE (2013), 8(12), doi:10.1371/journal.pone.0082593.

  8. C. Kühn, Ch. Wierling, A. Kühn, E. Klipp, G. Panopoulou, H. Lehrach, and A. J. Poustka, “Monte Carlo analysis of an ODE model of the sea urchin endomesoderm network,” BMC Systems Biology (2009), 3:83, doi:10.1186/1752-0509-3-83.

    Article  Google Scholar 

  9. E. Hairer, S. P. Norsett, and G. Wanner, Solving Ordinary Differential Equations: Nonstiff Problems [Russian translation], Mir, Moscow (1990).

    Google Scholar 

  10. I. S. Gvozdetska, “Mathematical models of tumoral growth that are based on the Gompertz dynamics,” Abstr. of Ph.D. Thesis in Techn. Sci., Ternopil (2012).

  11. R. Latkowski, “High computational complexity of the decision tree induction with many missing attribute values,” in: L. Czaja (ed.), Proc. Intern. Workshop on Concurrency, Specification and Programming (CS&P’2003), Vol. 2, Zaklad Graficzny UW, Czarna, Poland (2003), pp. 318–325.

    Google Scholar 

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Authors and Affiliations

  1. I. Ya. Horbachevsky Ternopil State Medical University, Ternopil, Ukraine

    V. P. Martsenyuk & I. S. Gvozdetska

  2. Lutsk National Technical University, Lutsk, Ukraine

    I. Ye. Andrushchak

Authors
  1. V. P. Martsenyuk
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  2. I. Ye. Andrushchak
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  3. I. S. Gvozdetska
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Corresponding authors

Correspondence to V. P. Martsenyuk or I. S. Gvozdetska.

Additional information

Translated from Kibernetika i Sistemnyi Analiz, No. 3, pp. 157–166, May–June, 2015.

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Martsenyuk, V.P., Andrushchak, I.Y. & Gvozdetska, I.S. Qualitative Analysis of the Antineoplastic Immunity System on the Basis of a Decision Tree. Cybern Syst Anal 51, 461–470 (2015). https://doi.org/10.1007/s10559-015-9737-6

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  • DOI: https://doi.org/10.1007/s10559-015-9737-6

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