• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

网络传递约简问题的算法视角及其在生物网络综合与分析中的应用。

Algorithmic Perspectives of Network Transitive Reduction Problems and their Applications to Synthesis and Analysis of Biological Networks.

机构信息

Department of Computer Science, University of Illinois at Chicago, Chicago, IL 60607, USA.

Department of Computer Science, University of Bonn, Bonn 53113, Germany.

出版信息

Biology (Basel). 2013 Dec 19;3(1):1-21. doi: 10.3390/biology3010001.

DOI:10.3390/biology3010001
PMID:24833332
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4009766/
Abstract

In this survey paper, we will present a number of core algorithmic questions concerning several transitive reduction problems on network that have applications in network synthesis and analysis involving cellular processes. Our starting point will be the so-called minimum equivalent digraph problem, a classic computational problem in combinatorial algorithms. We will subsequently consider a few non-trivial extensions or generalizations of this problem motivated by applications in systems biology. We will then discuss the applications of these algorithmic methodologies in the context of three major biological research questions: synthesizing and simplifying signal transduction networks, analyzing disease networks, and measuring redundancy of biological networks.

摘要

在这篇调查论文中,我们将提出一些关于网络中几个传递约简问题的核心算法问题,这些问题在涉及细胞过程的网络综合和分析中有应用。我们的出发点将是所谓的最小等价有向图问题,这是组合算法中的一个经典计算问题。随后,我们将考虑由系统生物学中的应用所激发的这个问题的几个非平凡扩展或推广。然后,我们将讨论这些算法方法在三个主要的生物学研究问题中的应用:信号转导网络的综合和简化、疾病网络的分析以及生物网络的冗余性测量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d68f/4009766/f192a5a40102/biology-03-00001-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d68f/4009766/45fbf2c41ad4/biology-03-00001-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d68f/4009766/cdf1e699eb7e/biology-03-00001-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d68f/4009766/c855cae109fa/biology-03-00001-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d68f/4009766/7ebb90cc2cc3/biology-03-00001-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d68f/4009766/f192a5a40102/biology-03-00001-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d68f/4009766/45fbf2c41ad4/biology-03-00001-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d68f/4009766/cdf1e699eb7e/biology-03-00001-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d68f/4009766/c855cae109fa/biology-03-00001-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d68f/4009766/7ebb90cc2cc3/biology-03-00001-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d68f/4009766/f192a5a40102/biology-03-00001-g005.jpg

相似文献

1
Algorithmic Perspectives of Network Transitive Reduction Problems and their Applications to Synthesis and Analysis of Biological Networks.网络传递约简问题的算法视角及其在生物网络综合与分析中的应用。
Biology (Basel). 2013 Dec 19;3(1):1-21. doi: 10.3390/biology3010001.
2
Some perspectives on network modeling in therapeutic target prediction.治疗靶点预测中网络建模的一些观点。
Biomed Eng Comput Biol. 2013 Feb 21;5:17-24. doi: 10.4137/BECB.S10793. eCollection 2013.
3
A novel method for signal transduction network inference from indirect experimental evidence.一种从间接实验证据推断信号转导网络的新方法。
J Comput Biol. 2007 Sep;14(7):927-49. doi: 10.1089/cmb.2007.0015.
4
Minimum dominating set-based methods for analyzing biological networks.基于最小支配集的生物网络分析方法。
Methods. 2016 Jun 1;102:57-63. doi: 10.1016/j.ymeth.2015.12.017. Epub 2016 Jan 7.
5
TRANSWESD: inferring cellular networks with transitive reduction.TRANSWESD:使用传递约简推断细胞网络。
Bioinformatics. 2010 Sep 1;26(17):2160-8. doi: 10.1093/bioinformatics/btq342. Epub 2010 Jul 6.
6
Controllability and observability of Boolean networks arising from biology.源自生物学的布尔网络的可控性与可观测性
Chaos. 2015 Feb;25(2):023104. doi: 10.1063/1.4907708.
7
Inference of signal transduction networks from double causal evidence.基于双重因果证据的信号转导网络推断
Methods Mol Biol. 2010;673:239-51. doi: 10.1007/978-1-60761-842-3_16.
8
Pathfinder and other tools for analyzing signal transduction networks.用于分析信号转导网络的探路者及其他工具。
Ann N Y Acad Sci. 2002 Oct;971:589-94. doi: 10.1111/j.1749-6632.2002.tb04534.x.
9
Development and use of a Cytoscape app for GRNCOP2.开发并使用 Cytoscape 应用程序进行 GRNCOP2。
Comput Methods Programs Biomed. 2019 Aug;177:211-218. doi: 10.1016/j.cmpb.2019.05.030. Epub 2019 Jun 4.
10
Algorithmic issues in reverse engineering of protein and gene networks via the modular response analysis method.通过模块化响应分析方法对蛋白质和基因网络进行逆向工程中的算法问题。
Ann N Y Acad Sci. 2007 Dec;1115:132-41. doi: 10.1196/annals.1407.001. Epub 2007 Oct 9.

本文引用的文献

1
Some perspectives on network modeling in therapeutic target prediction.治疗靶点预测中网络建模的一些观点。
Biomed Eng Comput Biol. 2013 Feb 21;5:17-24. doi: 10.4137/BECB.S10793. eCollection 2013.
2
Network deconvolution as a general method to distinguish direct dependencies in networks.网络去卷积作为一种区分网络中直接依赖关系的通用方法。
Nat Biotechnol. 2013 Aug;31(8):726-33. doi: 10.1038/nbt.2635. Epub 2013 Jul 14.
3
Efficient reconstruction of biological networks via transitive reduction on general purpose graphics processors.
通过在通用图形处理器上进行传递约简来有效重建生物网络。
BMC Bioinformatics. 2012 Oct 30;13:281. doi: 10.1186/1471-2105-13-281.
4
Computationally efficient measure of topological redundancy of biological and social networks.生物和社会网络拓扑冗余的计算高效度量。
Phys Rev E Stat Nonlin Soft Matter Phys. 2011 Sep;84(3 Pt 2):036117. doi: 10.1103/PhysRevE.84.036117. Epub 2011 Sep 29.
5
Signal redundancy, gates and integration in the control of ion channels for stomatal movement.气孔运动离子通道控制中的信号冗余、门控与整合
J Exp Bot. 1997 Mar;48 Spec No:529-37. doi: 10.1093/jxb/48.Special_Issue.529.
6
Discovering pathways by orienting edges in protein interaction networks.通过定向蛋白质相互作用网络中的边缘来发现途径。
Nucleic Acids Res. 2011 Mar;39(4):e22. doi: 10.1093/nar/gkq1207. Epub 2010 Nov 24.
7
Inference of signal transduction networks from double causal evidence.基于双重因果证据的信号转导网络推断
Methods Mol Biol. 2010;673:239-51. doi: 10.1007/978-1-60761-842-3_16.
8
TRANSWESD: inferring cellular networks with transitive reduction.TRANSWESD:使用传递约简推断细胞网络。
Bioinformatics. 2010 Sep 1;26(17):2160-8. doi: 10.1093/bioinformatics/btq342. Epub 2010 Jul 6.
9
Network model of survival signaling in large granular lymphocyte leukemia.大颗粒淋巴细胞白血病生存信号的网络模型
Proc Natl Acad Sci U S A. 2008 Oct 21;105(42):16308-13. doi: 10.1073/pnas.0806447105. Epub 2008 Oct 13.
10
NET-SYNTHESIS: a software for synthesis, inference and simplification of signal transduction networks.NET-SYNTHESIS:一款用于信号转导网络的合成、推理和简化的软件。
Bioinformatics. 2008 Jan 15;24(2):293-5. doi: 10.1093/bioinformatics/btm571. Epub 2007 Nov 22.