找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: A Guide to Numerical Modelling in Systems Biology; Peter Deuflhard,Susanna Röblitz Textbook 2015 Springer International Publishing Switzer

[复制链接]
查看: 31293|回复: 35
发表于 2025-3-21 19:40:46 | 显示全部楼层 |阅读模式
期刊全称A Guide to Numerical Modelling in Systems Biology
影响因子2023Peter Deuflhard,Susanna Röblitz
视频video
发行地址Mathematics without theorems in clear orientation towards systems biology.Many illustrative examples to explain details.Guide to software indicating its strengths and weaknesses.Includes supplementary
学科分类Texts in Computational Science and Engineering
图书封面Titlebook: A Guide to Numerical Modelling in Systems Biology;  Peter Deuflhard,Susanna Röblitz Textbook 2015 Springer International Publishing Switzer
影响因子.This book is intended for students of computational systems biology with only a limited background in mathematics. Typical books on systems biology merely mention algorithmic approaches, but without offering a deeper understanding. On the other hand, mathematical books are typically unreadable for computational biologists. The authors of the present book have worked hard to fill this gap. The result is not a book on systems biology, but on computational methods in systems biology. This book originated from courses taught by the authors at Freie Universität Berlin. The guiding idea of the courses was to convey those mathematical insights that are indispensable for systems biology, teaching the necessary mathematical prerequisites by means of many illustrative examples and without any theorems. The three chapters cover the mathematical modelling of biochemical and physiological processes, numerical simulation of the dynamics of biological networks and identification of model parameters by means of comparisons with real data. Throughout the text, the strengths and weaknesses of numerical algorithms with respect to various systems biological issues are discussed. Web addresses for dow
Pindex Textbook 2015
The information of publication is updating

书目名称A Guide to Numerical Modelling in Systems Biology影响因子(影响力)




书目名称A Guide to Numerical Modelling in Systems Biology影响因子(影响力)学科排名




书目名称A Guide to Numerical Modelling in Systems Biology网络公开度




书目名称A Guide to Numerical Modelling in Systems Biology网络公开度学科排名




书目名称A Guide to Numerical Modelling in Systems Biology被引频次




书目名称A Guide to Numerical Modelling in Systems Biology被引频次学科排名




书目名称A Guide to Numerical Modelling in Systems Biology年度引用




书目名称A Guide to Numerical Modelling in Systems Biology年度引用学科排名




书目名称A Guide to Numerical Modelling in Systems Biology读者反馈




书目名称A Guide to Numerical Modelling in Systems Biology读者反馈学科排名




单选投票, 共有 0 人参与投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用户组没有投票权限
发表于 2025-3-22 00:16:46 | 显示全部楼层
1611-0994 dicating its strengths and weaknesses.Includes supplementary.This book is intended for students of computational systems biology with only a limited background in mathematics. Typical books on systems biology merely mention algorithmic approaches, but without offering a deeper understanding. On the
发表于 2025-3-22 01:54:07 | 显示全部楼层
发表于 2025-3-22 07:58:24 | 显示全部楼层
发表于 2025-3-22 09:20:35 | 显示全部楼层
Texts in Computational Science and Engineeringhttp://image.papertrans.cn/a/image/140971.jpg
发表于 2025-3-22 15:51:21 | 显示全部楼层
https://doi.org/10.1007/978-3-319-20059-0mathematics in computational biology; mathematics in systems biology; numerical simulation; parameter i
发表于 2025-3-22 19:05:45 | 显示全部楼层
978-3-319-36882-5Springer International Publishing Switzerland 2015
发表于 2025-3-22 22:35:51 | 显示全部楼层
发表于 2025-3-23 01:39:47 | 显示全部楼层
发表于 2025-3-23 07:30:00 | 显示全部楼层
Lecture Notes in Computer Scienceimulations for a large set of parameters have been performed and analyzed. This is the situation, when no measurements are available. The present chapter deals with the case, when measurements are available and can be used, in principle, to identify at least part of the parameters. Such parameter id
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-5-1 21:30
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表