• 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

Detecting causality from short time-series data based on prediction of topologically equivalent attractors.

作者信息

Zhang Ben-Gong, Li Weibo, Shi Yazhou, Liu Xiaoping, Chen Luonan

机构信息

School of Mathematics & Computer Science, Wuhan Textile University, Wuhan, 430200, China.

Research Center of Nonlinear Science, Wuhan Textile University, Wuhan, 430200, China.

出版信息

BMC Syst Biol. 2017 Dec 21;11(Suppl 7):128. doi: 10.1186/s12918-017-0512-3.

DOI:10.1186/s12918-017-0512-3
PMID:29322924
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5763311/
Abstract
摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4537/5763311/ced11cf3a235/12918_2017_512_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4537/5763311/94784e650164/12918_2017_512_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4537/5763311/885a77533154/12918_2017_512_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4537/5763311/bd86f775daa9/12918_2017_512_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4537/5763311/a1de5d14e937/12918_2017_512_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4537/5763311/226b101f5387/12918_2017_512_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4537/5763311/b5cd19f9686d/12918_2017_512_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4537/5763311/866c003eaa76/12918_2017_512_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4537/5763311/ced11cf3a235/12918_2017_512_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4537/5763311/94784e650164/12918_2017_512_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4537/5763311/885a77533154/12918_2017_512_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4537/5763311/bd86f775daa9/12918_2017_512_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4537/5763311/a1de5d14e937/12918_2017_512_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4537/5763311/226b101f5387/12918_2017_512_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4537/5763311/b5cd19f9686d/12918_2017_512_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4537/5763311/866c003eaa76/12918_2017_512_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4537/5763311/ced11cf3a235/12918_2017_512_Fig8_HTML.jpg

相似文献

1
Detecting causality from short time-series data based on prediction of topologically equivalent attractors.基于拓扑等价吸引子预测从短时间序列数据中检测因果关系。
BMC Syst Biol. 2017 Dec 21;11(Suppl 7):128. doi: 10.1186/s12918-017-0512-3.
2
Circadian clocks are seeing the systems biology light.生物钟正在迎来系统生物学之光。
Genome Biol. 2005;6(5):219. doi: 10.1186/gb-2005-6-5-219. Epub 2005 Apr 28.
3
Using Genome-scale Models to Predict Biological Capabilities.使用基因组规模模型预测生物学能力。
Cell. 2015 May 21;161(5):971-987. doi: 10.1016/j.cell.2015.05.019.
4
Period-phase map: two-dimensional selection of circadian rhythm-related genes.时相图：生物钟相关基因的二维选择。
IET Syst Biol. 2009 Nov;3(6):487-95. doi: 10.1049/iet-syb.2008.0179.
5
Systems biology of mammalian circadian clocks.哺乳动物生物钟的系统生物学
Cold Spring Harb Symp Quant Biol. 2007;72:365-80. doi: 10.1101/sqb.2007.72.047.
6
A network biology study on circadian rhythm by integrating various omics data.一项通过整合各种组学数据对昼夜节律进行的网络生物学研究。
OMICS. 2009 Aug;13(4):313-24. doi: 10.1089/omi.2009.0040.
7
Detecting shifts in gene regulatory networks during time-course experiments at single-time-point temporal resolution.在单时间点时间分辨率的时间进程实验中检测基因调控网络的变化。
J Bioinform Comput Biol. 2015 Oct;13(5):1543002. doi: 10.1142/S0219720015430027. Epub 2015 Sep 30.
8
bLARS: An Algorithm to Infer Gene Regulatory Networks.bLARS：一种推断基因调控网络的算法
IEEE/ACM Trans Comput Biol Bioinform. 2016 Mar-Apr;13(2):301-14. doi: 10.1109/TCBB.2015.2450740.
9
Network benchmarking: a happy marriage between systems and synthetic biology.网络基准测试：系统生物学与合成生物学的美满结合。
Chem Biol. 2009 Mar 27;16(3):239-41. doi: 10.1016/j.chembiol.2009.03.004.
10
[Algorithm of determination of circadian gene expression profiles analysed with DNA microarrays].[用DNA微阵列分析昼夜节律基因表达谱的测定算法]
Pathol Biol (Paris). 2005 Jun;53(5):295-9. doi: 10.1016/j.patbio.2004.12.011. Epub 2005 Jan 20.

引用本文的文献

1
Connectivity Analysis for Multivariate Time Series: Correlation vs. Causality.多元时间序列的连通性分析：相关性与因果关系
Entropy (Basel). 2021 Nov 25;23(12):1570. doi: 10.3390/e23121570.
2
Detecting and quantifying causal associations in large nonlinear time series datasets.检测和量化大型非线性时间序列数据集的因果关系。
Sci Adv. 2019 Nov 27;5(11):eaau4996. doi: 10.1126/sciadv.aau4996. eCollection 2019 Nov.
3
A bioinformatics potpourri.生物信息学大杂烩。

本文引用的文献

1
Approximating high-dimensional dynamics by barycentric coordinates with linear programming.
Chaos. 2015 Jan;25(1):013114. doi: 10.1063/1.4906746.
2
Detecting causality from nonlinear dynamics with short-term time series.利用短期时间序列从非线性动力学中检测因果关系。
Sci Rep. 2014 Dec 12;4:7464. doi: 10.1038/srep07464.
3
Quantifying causal coupling strength: a lag-specific measure for multivariate time series related to transfer entropy.量化因果耦合强度：一种与转移熵相关的多元时间序列的滞后特定度量。
BMC Genomics. 2018 Jan 19;19(Suppl 1):920. doi: 10.1186/s12864-017-4326-x.
Phys Rev E Stat Nonlin Soft Matter Phys. 2012 Dec;86(6 Pt 1):061121. doi: 10.1103/PhysRevE.86.061121. Epub 2012 Dec 17.
4
Escaping the curse of dimensionality in estimating multivariate transfer entropy.在估计多元传递熵时摆脱维度诅咒。
Phys Rev Lett. 2012 Jun 22;108(25):258701. doi: 10.1103/PhysRevLett.108.258701. Epub 2012 Jun 21.
5
Detecting causality in complex ecosystems.检测复杂生态系统中的因果关系。
Science. 2012 Oct 26;338(6106):496-500. doi: 10.1126/science.1227079. Epub 2012 Sep 20.
6
Inner composition alignment for inferring directed networks from short time series.从短时间序列推断有向网络的内部组成对准。
Phys Rev Lett. 2011 Jul 29;107(5):054101. doi: 10.1103/PhysRevLett.107.054101. Epub 2011 Jul 26.
7
Information-based detection of nonlinear Granger causality in multivariate processes via a nonuniform embedding technique.基于信息的多元过程中非线性格兰杰因果关系的非均匀嵌入技术检测。
Phys Rev E Stat Nonlin Soft Matter Phys. 2011 May;83(5 Pt 1):051112. doi: 10.1103/PhysRevE.83.051112. Epub 2011 May 11.
8
Identifying hidden common causes from bivariate time series: a method using recurrence plots.从双变量时间序列中识别隐藏的共同原因：一种使用递归图的方法。
Phys Rev E Stat Nonlin Soft Matter Phys. 2010 Jan;81(1 Pt 2):016203. doi: 10.1103/PhysRevE.81.016203. Epub 2010 Jan 8.
9
A network biology study on circadian rhythm by integrating various omics data.一项通过整合各种组学数据对昼夜节律进行的网络生物学研究。
OMICS. 2009 Aug;13(4):313-24. doi: 10.1089/omi.2009.0040.
10
Estimating Granger causality from fourier and wavelet transforms of time series data.从时间序列数据的傅里叶变换和小波变换估计格兰杰因果关系。
Phys Rev Lett. 2008 Jan 11;100(1):018701. doi: 10.1103/PhysRevLett.100.018701. Epub 2008 Jan 10.