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: Computational Methods in Systems Biology; 19th International C Eugenio Cinquemani,Loïc Paulevé Conference proceedings 2021 Springer Nature

[复制链接]
查看: 47229|回复: 58
发表于 2025-3-21 18:12:30 | 显示全部楼层 |阅读模式
书目名称Computational Methods in Systems Biology
副标题19th International C
编辑Eugenio Cinquemani,Loïc Paulevé
视频videohttp://file.papertrans.cn/233/232789/232789.mp4
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Computational Methods in Systems Biology; 19th International C Eugenio Cinquemani,Loïc Paulevé Conference proceedings 2021 Springer Nature
描述This book constitutes the refereed proceedings of the 19th International Conference on Computational Methods in Systems Biology, CMSB 2021, held in Bordeaux, France, September 22–24, 2021.*The 13 full papers and 5 tool papers were carefully reviewed and selected from 32 submissions. The topics of interest include biological process modelling; biological system model verification, validation, analysis, and simulation; high-performance computational systems biology; model inference from experimental data; multi-scale modeling and analysis methods; computational approaches for synthetic biology; machine learning and data-driven approaches; microbial ecology modelling and analysis; methods and protocols for populations and their variability; models, applications, and case studies in systems and synthetic biology. The chapters "Microbial Community Decision Making Models in Batch", "Population design for synthetic gene circuits", "BioFVM-X: An MPI+OpenMP 3-D Simulator for Biological Systems" are published open access under a CC BY license (Creative Commons Attribution 4.0 International License). .* The conference was held in a hybrid mode due to the COVID-19 pandemic..
出版日期Conference proceedings 2021
关键词adaptive control systems; artificial intelligence; automation; computer networks; computer programming; c
版次1
doihttps://doi.org/10.1007/978-3-030-85633-5
isbn_softcover978-3-030-85632-8
isbn_ebook978-3-030-85633-5Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2021
The information of publication is updating

书目名称Computational Methods in Systems Biology影响因子(影响力)




书目名称Computational Methods in Systems Biology影响因子(影响力)学科排名




书目名称Computational Methods in Systems Biology网络公开度




书目名称Computational Methods in Systems Biology网络公开度学科排名




书目名称Computational Methods in Systems Biology被引频次




书目名称Computational Methods in Systems Biology被引频次学科排名




书目名称Computational Methods in Systems Biology年度引用




书目名称Computational Methods in Systems Biology年度引用学科排名




书目名称Computational Methods in Systems Biology读者反馈




书目名称Computational Methods 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 2025-3-21 22:55:51 | 显示全部楼层
发表于 2025-3-22 01:39:42 | 显示全部楼层
,Greening R. Thomas’ Framework with Environment Variables: A Divide and Conquer Approach,servations are often made under experimental conditions which are not necessarily comparable since they depend on the culture medium for example. The construction of a right modelisation therefore depends on our ability to take into account all this information in a single framework.
发表于 2025-3-22 07:09:50 | 显示全部楼层
发表于 2025-3-22 10:59:48 | 显示全部楼层
发表于 2025-3-22 13:51:53 | 显示全部楼层
发表于 2025-3-22 20:18:50 | 显示全部楼层
发表于 2025-3-23 00:24:40 | 显示全部楼层
发表于 2025-3-23 01:23:59 | 显示全部楼层
Microbial Community Decision Making Models in Batch and Chemostat Cultures,n microbiome. Such simulations rely on assumptions about the culturing environment, affecting if the culture may reach a metabolically stationary state with constant microbial concentrations. They also require assumptions on decision making by the microbes: metabolic strategies can be in the interes
发表于 2025-3-23 08:46:28 | 显示全部楼层
Learning Boolean Controls in Regulated Metabolic Networks: A Case-Study,verse-engineer Boolean regulations for transcriptional and signaling networks, but they fail to infer regulations that control metabolic networks. This paper provides a formalisation of the inference of regulations for metabolic networks as a satisfiability problem with two levels of quantifiers, an
 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 吾爱论文网 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.
QQ|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-8-19 02:06
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