Inverse Geometric Approach to the Simulation of the Circular Growth. The Case of Multicellular Tumor Spheroids

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 behavior of their contours. The possible applicat...

Full description

Saved in:
Bibliographic Details
Published in:arXiv.org 2007-07
Main Authors: Brutovsky, Branislav, Horvath, Denis, Lisy, Vladimir
Format: Article
Language:English
Subjects:
Cellular automata
Computer simulation
Genetic algorithms
Spheroids
Tumors
Two dimensional models
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites
container_end_page
container_issue
container_start_page
container_title arXiv.org
container_volume
creator Brutovsky, Branislav
Horvath, Denis
Lisy, Vladimir
description 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 behavior of their contours. The possible application of the approach in the field of tumor modeling is outlined.
doi_str_mv 10.48550/arxiv.0704.3138
format article
fullrecord <record><control><sourceid>proquest</sourceid><recordid>TN_cdi_proquest_journals_2089893282</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2089893282</sourcerecordid><originalsourceid>FETCH-LOGICAL-a512-9bf83939842b642e9e5cfd30fbdddccf1c206e24dbfea6c7b232d072ac2f55ea3</originalsourceid><addsrcrecordid>eNotj81LwzAYxoMgOObuHgOeW9M3TZsex9A6mHhY7yNN3tCMrplpOv3zrXOnB348PB-EPGUszaUQ7EWFH3dJWcnylGdc3pEFcJ4lMgd4IKtxPDLGoChBCL4gw3a4YBiR1uhPGIPTdH0-B690R6OnsUO6d6epV9H5gXp7JRsX9IwCrYP_jl1Kmz-o5pTZ8DH10Wns-6ujmU4-0P25w-CdGR_JvVX9iKubLknz9tps3pPdZ73drHeJEhkkVWslr3g1T26LHLBCoa3hzLbGGK1tpoEVCLlpLapCly1wMKwEpcEKgYovyfN_7Pzka8IxHo5-CsPceAAmK1lxkMB_AWtpXEE</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2089893282</pqid></control><display><type>article</type><title>Inverse Geometric Approach to the Simulation of the Circular Growth. The Case of Multicellular Tumor Spheroids</title><source>Publicly Available Content Database</source><creator>Brutovsky, Branislav ; Horvath, Denis ; Lisy, Vladimir</creator><creatorcontrib>Brutovsky, Branislav ; Horvath, Denis ; Lisy, Vladimir</creatorcontrib><description>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 behavior of their contours. The possible application of the approach in the field of tumor modeling is outlined.</description><identifier>EISSN: 2331-8422</identifier><identifier>DOI: 10.48550/arxiv.0704.3138</identifier><language>eng</language><publisher>Ithaca: Cornell University Library, arXiv.org</publisher><subject>Cellular automata ; Computer simulation ; Genetic algorithms ; Spheroids ; Tumors ; Two dimensional models</subject><ispartof>arXiv.org, 2007-07</ispartof><rights>Notwithstanding the ProQuest Terms and conditions, you may use this content in accordance with the associated terms available at http://arxiv.org/abs/0704.3138.</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/2089893282?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>780,784,25753,27925,37012,44590</link.rule.ids></links><search><creatorcontrib>Brutovsky, Branislav</creatorcontrib><creatorcontrib>Horvath, Denis</creatorcontrib><creatorcontrib>Lisy, Vladimir</creatorcontrib><title>Inverse Geometric Approach to the Simulation of the Circular Growth. The Case of Multicellular Tumor Spheroids</title><title>arXiv.org</title><description>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 behavior of their contours. The possible application of the approach in the field of tumor modeling is outlined.</description><subject>Cellular automata</subject><subject>Computer simulation</subject><subject>Genetic algorithms</subject><subject>Spheroids</subject><subject>Tumors</subject><subject>Two dimensional models</subject><issn>2331-8422</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2007</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><recordid>eNotj81LwzAYxoMgOObuHgOeW9M3TZsex9A6mHhY7yNN3tCMrplpOv3zrXOnB348PB-EPGUszaUQ7EWFH3dJWcnylGdc3pEFcJ4lMgd4IKtxPDLGoChBCL4gw3a4YBiR1uhPGIPTdH0-B690R6OnsUO6d6epV9H5gXp7JRsX9IwCrYP_jl1Kmz-o5pTZ8DH10Wns-6ujmU4-0P25w-CdGR_JvVX9iKubLknz9tps3pPdZ73drHeJEhkkVWslr3g1T26LHLBCoa3hzLbGGK1tpoEVCLlpLapCly1wMKwEpcEKgYovyfN_7Pzka8IxHo5-CsPceAAmK1lxkMB_AWtpXEE</recordid><startdate>20070730</startdate><enddate>20070730</enddate><creator>Brutovsky, Branislav</creator><creator>Horvath, Denis</creator><creator>Lisy, Vladimir</creator><general>Cornell University Library, arXiv.org</general><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M7S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope></search><sort><creationdate>20070730</creationdate><title>Inverse Geometric Approach to the Simulation of the Circular Growth. The Case of Multicellular Tumor Spheroids</title><author>Brutovsky, Branislav ; Horvath, Denis ; Lisy, Vladimir</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a512-9bf83939842b642e9e5cfd30fbdddccf1c206e24dbfea6c7b232d072ac2f55ea3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2007</creationdate><topic>Cellular automata</topic><topic>Computer simulation</topic><topic>Genetic algorithms</topic><topic>Spheroids</topic><topic>Tumors</topic><topic>Two dimensional models</topic><toplevel>online_resources</toplevel><creatorcontrib>Brutovsky, Branislav</creatorcontrib><creatorcontrib>Horvath, Denis</creatorcontrib><creatorcontrib>Lisy, Vladimir</creatorcontrib><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><jtitle>arXiv.org</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Brutovsky, Branislav</au><au>Horvath, Denis</au><au>Lisy, Vladimir</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Inverse Geometric Approach to the Simulation of the Circular Growth. The Case of Multicellular Tumor Spheroids</atitle><jtitle>arXiv.org</jtitle><date>2007-07-30</date><risdate>2007</risdate><eissn>2331-8422</eissn><abstract>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 behavior of their contours. The possible application of the approach in the field of tumor modeling is outlined.</abstract><cop>Ithaca</cop><pub>Cornell University Library, arXiv.org</pub><doi>10.48550/arxiv.0704.3138</doi><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier EISSN: 2331-8422
ispartof arXiv.org, 2007-07
issn 2331-8422
language eng
recordid cdi_proquest_journals_2089893282
source Publicly Available Content Database
subjects Cellular automata
Computer simulation
Genetic algorithms
Spheroids
Tumors
Two dimensional models
title Inverse Geometric Approach to the Simulation of the Circular Growth. The Case of Multicellular Tumor Spheroids
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-28T18%3A12%3A06IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Inverse%20Geometric%20Approach%20to%20the%20Simulation%20of%20the%20Circular%20Growth.%20The%20Case%20of%20Multicellular%20Tumor%20Spheroids&rft.jtitle=arXiv.org&rft.au=Brutovsky,%20Branislav&rft.date=2007-07-30&rft.eissn=2331-8422&rft_id=info:doi/10.48550/arxiv.0704.3138&rft_dat=%3Cproquest%3E2089893282%3C/proquest%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-a512-9bf83939842b642e9e5cfd30fbdddccf1c206e24dbfea6c7b232d072ac2f55ea3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2089893282&rft_id=info:pmid/&rfr_iscdi=true