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pro vyhledávání: '"Brutovsky, Branislav"'
Autor:
Brutovsky, Branislav, Horvath, Denis
Publikováno v:
Journal of Theoretical Biology 485(2020) 110038
In here presented in silico study we suggest a way how to implement the evolutionary principles into anti-cancer therapy design. We hypothesize that instead of its ongoing supervised adaptation, the therapy may be constructed as a self-sustaining evo
Externí odkaz:
http://arxiv.org/abs/1811.06262
Autor:
Horváth, Denis, Brutovsky, Branislav
We developed simulation methodology to assess eventual therapeutic efficiency of exogenous multiparametric changes in a four-component cellular system described by the system of ordinary differential equations. The method is numerically implemented t
Externí odkaz:
http://arxiv.org/abs/1707.06881
Autor:
Horvath, Denis, Brutovsky, Branislav
Reversibility of state transitions is intensively studied topic in many scientific disciplines over many years. In cell biology, it plays an important role in epigenetic variation of phenotypes, known as phenotypic plasticity. More interestingly, the
Externí odkaz:
http://arxiv.org/abs/1707.06524
Classical metric and non-metric multidimensional scaling (MDS) variants are widely known manifold learning (ML) methods which enable construction of low dimensional representation (projections) of high dimensional data inputs. However, their use is c
Externí odkaz:
http://arxiv.org/abs/1406.3440
Autor:
Brutovsky, Branislav, Horvath, Denis
Development of resistance limits efficiency of present anticancer therapies and preventing it remains big challenge in cancer research. It is accepted, at intuitive level, that the resistance emerges as a consequence of cancer cells heterogeneity at
Externí odkaz:
http://arxiv.org/abs/1404.2724
We demonstrate the power of the genetic algorithms to construct the cellular automata model simulating the growth of 2-dimensional close-to-circular clusters revealing the desired properties, such as the growth rate and, at the same time, the fractal
Externí odkaz:
http://arxiv.org/abs/0704.3138
The inverse geometric approach to the modeling of the growth of circular objects revealing required features, such as the velocity of the growth and fractal behavior of their contours, is presented. It enables to reproduce some of the recent findings
Externí odkaz:
http://arxiv.org/abs/physics/0610134
Autor:
Horvath, Denis, Brutovsky, Branislav
Publikováno v:
In Physica A: Statistical Mechanics and its Applications 15 November 2016 462:455-468
Akademický článek
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Autor:
Brutovsky Branislav, Horvath Denis
Publikováno v:
Open Physics, Vol 13, Iss 1 (2015)
Development of resistance limits efficiency of present anticancer therapies and preventing it remains a big challenge in cancer research. It is accepted, at the intuitive level, that resistance emerges as a consequence of the heterogeneity of cancer
Externí odkaz:
https://doaj.org/article/46c6d5bf30a24a1797e118826d3ebeda