A stochastic compartmental approach to modeling and simulation of cancer spheroid formation and evolution

Mónica F. Bugallo; Shishir Dash; Galina Botchkina; Marco Lops; Petar M. Djurić

doi:10.1109/ICASSP.2011.5947729

A stochastic compartmental approach to modeling and simulation of cancer spheroid formation and evolution

Mónica F. Bugallo
, Shishir Dash
, Galina Botchkina
, Marco Lops
, Petar M. Djurić

Stony Brook University
INPT/IRIT/ENSEEIHT
University of Cassino and Southern Lazio

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

In this paper we model and simulate a biological system describing the evolution of cancer stem cells into tumors. Starting from some basic hypotheses about the behavior of these cells, we develop a model that mimics the evolution of a system of cancer stem cells and show how random-set-theory naturally leads to a generation algorithm. Computer simulations demonstrate the potential of our approach by using simple random sampling rules and a lattice environment.

Original language	English
Title of host publication	2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings
Pages	6000-6003
Number of pages	4
DOIs	https://doi.org/10.1109/ICASSP.2011.5947729
State	Published - 2011
Event	36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Prague, Czech Republic Duration: May 22 2011 → May 27 2011

Publication series

Name	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)	1520-6149

Conference

Conference	36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011
Country/Territory	Czech Republic
City	Prague
Period	05/22/11 → 05/27/11

Keywords

cancer stem cells
high dimensional systems
Random-set-theory

Access to Document

10.1109/ICASSP.2011.5947729

Cite this

Bugallo, M. F., Dash, S., Botchkina, G., Lops, M., & Djurić, P. M. (2011). A stochastic compartmental approach to modeling and simulation of cancer spheroid formation and evolution. In 2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings (pp. 6000-6003). Article 5947729 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). https://doi.org/10.1109/ICASSP.2011.5947729

Bugallo, Mónica F. ; Dash, Shishir ; Botchkina, Galina et al. / A stochastic compartmental approach to modeling and simulation of cancer spheroid formation and evolution. 2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings. 2011. pp. 6000-6003 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

@inproceedings{1b0db7b566c640d2978910cf2ddec6ad,

title = "A stochastic compartmental approach to modeling and simulation of cancer spheroid formation and evolution",

abstract = "In this paper we model and simulate a biological system describing the evolution of cancer stem cells into tumors. Starting from some basic hypotheses about the behavior of these cells, we develop a model that mimics the evolution of a system of cancer stem cells and show how random-set-theory naturally leads to a generation algorithm. Computer simulations demonstrate the potential of our approach by using simple random sampling rules and a lattice environment.",

keywords = "cancer stem cells, high dimensional systems, Random-set-theory",

author = "Bugallo, \{M{\'o}nica F.\} and Shishir Dash and Galina Botchkina and Marco Lops and Djuri{\'c}, \{Petar M.\}",

year = "2011",

doi = "10.1109/ICASSP.2011.5947729",

language = "English",

isbn = "9781457705397",

series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",

pages = "6000--6003",

booktitle = "2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings",

note = "36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 ; Conference date: 22-05-2011 Through 27-05-2011",

}

Bugallo, MF, Dash, S, Botchkina, G, Lops, M & Djurić, PM 2011, A stochastic compartmental approach to modeling and simulation of cancer spheroid formation and evolution. in 2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings., 5947729, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, pp. 6000-6003, 36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011, Prague, Czech Republic, 05/22/11. https://doi.org/10.1109/ICASSP.2011.5947729

A stochastic compartmental approach to modeling and simulation of cancer spheroid formation and evolution. / Bugallo, Mónica F.; Dash, Shishir; Botchkina, Galina et al.
2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings. 2011. p. 6000-6003 5947729 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A stochastic compartmental approach to modeling and simulation of cancer spheroid formation and evolution

AU - Bugallo, Mónica F.

AU - Dash, Shishir

AU - Botchkina, Galina

AU - Lops, Marco

AU - Djurić, Petar M.

PY - 2011

Y1 - 2011

N2 - In this paper we model and simulate a biological system describing the evolution of cancer stem cells into tumors. Starting from some basic hypotheses about the behavior of these cells, we develop a model that mimics the evolution of a system of cancer stem cells and show how random-set-theory naturally leads to a generation algorithm. Computer simulations demonstrate the potential of our approach by using simple random sampling rules and a lattice environment.

AB - In this paper we model and simulate a biological system describing the evolution of cancer stem cells into tumors. Starting from some basic hypotheses about the behavior of these cells, we develop a model that mimics the evolution of a system of cancer stem cells and show how random-set-theory naturally leads to a generation algorithm. Computer simulations demonstrate the potential of our approach by using simple random sampling rules and a lattice environment.

KW - cancer stem cells

KW - high dimensional systems

KW - Random-set-theory

UR - https://www.scopus.com/pages/publications/80051617447

U2 - 10.1109/ICASSP.2011.5947729

DO - 10.1109/ICASSP.2011.5947729

M3 - Conference contribution

AN - SCOPUS:80051617447

SN - 9781457705397

T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

SP - 6000

EP - 6003

BT - 2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings

T2 - 36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011

Y2 - 22 May 2011 through 27 May 2011

ER -

Bugallo MF, Dash S, Botchkina G, Lops M, Djurić PM. A stochastic compartmental approach to modeling and simulation of cancer spheroid formation and evolution. In 2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings. 2011. p. 6000-6003. 5947729. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). doi: 10.1109/ICASSP.2011.5947729

A stochastic compartmental approach to modeling and simulation of cancer spheroid formation and evolution

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this