找回密碼
 To register

QQ登錄

只需一步,快速開(kāi)始

掃一掃,訪問(wèn)微社區(qū)

打印 上一主題 下一主題

Titlebook: Cellular Automaton Modeling of Biological Pattern Formation; Characterization, Ex Andreas Deutsch,Sabine Dormann Textbook 2017Latest editio

[復(fù)制鏈接]
查看: 37246|回復(fù): 47
樓主
發(fā)表于 2025-3-21 18:12:53 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Cellular Automaton Modeling of Biological Pattern Formation
副標(biāo)題Characterization, Ex
編輯Andreas Deutsch,Sabine Dormann
視頻videohttp://file.papertrans.cn/224/223001/223001.mp4
概述An accessible presentation with an interdisciplinary approach to cellular automaton models of biological pattern formation.Includes three new chapters on cell migration, tissue development, and cancer
叢書(shū)名稱Modeling and Simulation in Science, Engineering and Technology
圖書(shū)封面Titlebook: Cellular Automaton Modeling of Biological Pattern Formation; Characterization, Ex Andreas Deutsch,Sabine Dormann Textbook 2017Latest editio
描述This text explores the use of cellular automata in modeling pattern formation in biological systems. ?It describes several mathematical modeling approaches utilizing cellular automata that can be used to study the dynamics of interacting cell systems both in simulation and in practice. ?New in this edition are chapters covering cell migration, tissue development, and cancer dynamics, as well as updated references and new research topic suggestions that reflect the rapid development of the field..The book begins with an introduction to pattern-forming principles in biology and the various mathematical modeling techniques that can be used to analyze them. ?Cellular automaton models are then discussed in detail for different types of cellular processes and interactions, including random movement, cell migration, adhesive cell interaction, alignment and cellular swarming, growth processes, pigment cell pattern formation, tissue development, tumor growth and invasion, and Turing-type patterns and excitable media. ?In the final chapter, the authors critically discuss possibilities and limitations of the cellular automaton approach in modeling various biological applications, along with f
出版日期Textbook 2017Latest edition
關(guān)鍵詞Cellular Automata; Biological Pattern Formation; Adhesive Cell Interaction; Cancer Dynamics; Tissue Deve
版次2
doihttps://doi.org/10.1007/978-1-4899-7980-3
isbn_ebook978-1-4899-7980-3Series ISSN 2164-3679 Series E-ISSN 2164-3725
issn_series 2164-3679
copyrightSpringer Science+Business Media New York 2017
The information of publication is updating

書(shū)目名稱Cellular Automaton Modeling of Biological Pattern Formation影響因子(影響力)




書(shū)目名稱Cellular Automaton Modeling of Biological Pattern Formation影響因子(影響力)學(xué)科排名




書(shū)目名稱Cellular Automaton Modeling of Biological Pattern Formation網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱Cellular Automaton Modeling of Biological Pattern Formation網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱Cellular Automaton Modeling of Biological Pattern Formation被引頻次




書(shū)目名稱Cellular Automaton Modeling of Biological Pattern Formation被引頻次學(xué)科排名




書(shū)目名稱Cellular Automaton Modeling of Biological Pattern Formation年度引用




書(shū)目名稱Cellular Automaton Modeling of Biological Pattern Formation年度引用學(xué)科排名




書(shū)目名稱Cellular Automaton Modeling of Biological Pattern Formation讀者反饋




書(shū)目名稱Cellular Automaton Modeling of Biological Pattern Formation讀者反饋學(xué)科排名




單選投票, 共有 1 人參與投票
 

0票 0.00%

Perfect with Aesthetics

 

1票 100.00%

Better Implies Difficulty

 

0票 0.00%

Good and Satisfactory

 

0票 0.00%

Adverse Performance

 

0票 0.00%

Disdainful Garbage

您所在的用戶組沒(méi)有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 20:38:28 | 只看該作者
板凳
發(fā)表于 2025-3-22 01:59:19 | 只看該作者
https://doi.org/10.1007/978-3-322-87349-1cepts and has even triggered new concepts. In the first part, a historical excursion highlights static and dynamic space-time and corresponding mathematical concepts. Pattern forming principles in biology are introduced in the second part.
地板
發(fā)表于 2025-3-22 07:30:36 | 只看該作者
5#
發(fā)表于 2025-3-22 10:11:45 | 只看該作者
6#
發(fā)表于 2025-3-22 13:15:30 | 只看該作者
7#
發(fā)表于 2025-3-22 20:08:58 | 只看該作者
Cellular Automataore, we present strategies to analyze spatio-temporal pattern formation in cellular automaton models. In subsec.?., the so-called mean-field theory is presented as an approximative method to study dynamic properties of cellular automata.
8#
發(fā)表于 2025-3-22 23:26:08 | 只看該作者
9#
發(fā)表于 2025-3-23 03:15:19 | 只看該作者
10#
發(fā)表于 2025-3-23 05:44:26 | 只看該作者
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛(ài)論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評(píng) 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-8 16:13
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
武山县| 大余县| 玉林市| 柯坪县| 武安市| 莲花县| 城步| 德阳市| 渑池县| 沙坪坝区| 鄂尔多斯市| 新平| 安平县| 东乡族自治县| 灵武市| 敦煌市| 庆阳市| 福鼎市| 宁波市| 永仁县| 乐业县| 原阳县| 徐汇区| 天等县| 新营市| 罗田县| 双流县| 河南省| 奉贤区| 吉木乃县| 沙河市| 岳池县| 溆浦县| 大石桥市| 上饶县| 安吉县| 仙居县| 库尔勒市| 通江县| 上饶县| 三明市|