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共检索到1168条 ,权限内显示50条;
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Data from: The causes of epistasis in genetic networks
- 负责人:
- DOI:
- doi:10.5061/dryad.7nf24
- 摘要:
- properties. Why should this be the case? What characteristics of genetic networks determine the sign of epistasis? Here we show, by evolving genetic networks
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
Data from: Guppies occupy consistent positions in social networks: mechanisms and consequences
- 负责人:
- Krause, Stefan
- DOI:
- doi:10.5061/dryad.6ts50
- 摘要:
- h, network analysis has been used frequently to identify the role that particular individuals play in their social interactions and this approach has led
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
Data from: Large-scale functional networks identified from resting-state EEG using spatial ICA
- 负责人:
- 关键词:
- EEG resting state
- DOI:
- doi:10.5061/dryad.v9f16
- 摘要:
- including EEG-based source localisation and spatial independent component analysis, which allowed us to characterize the resting-state networks. 2) A gr
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
Data from: Vocal networks remain stable after a disturbance in Emei music frogs
- 负责人:
- 关键词:
- DOI:
- doi:10.5061/dryad.55m7b3s
- 摘要:
- of social network analysis. The present study used social network analysis to investigate whether vocal network structures are consistent in Emei music frog (Babina daunchina
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Data from: Validation of network communicability metrics for the analysis of brain structural networks.
- 负责人:
- DOI:
- doi:10.5061/dryad.612jm
- 摘要:
- Computational network analysis provides new methods to analyze the brain's structural organization based on diffusion imaging tractography data
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
Data from: Insights into the ecology and evolution of polyploid plants through network analysis
- 负责人:
- 关键词:
- gene loss;polyploidy;gene expression;Gene Retention;Coexpression;Gossypium hirsutum;Network analysis
- DOI:
- doi:10.5061/dryad.256hn
- 摘要:
- s or as a part of broad-scale analyses. Network analysis has been fruitful in associating genomic and other 'omic'-based changes with phenotype for many systems
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
Data from: Machine learning-based differential network analysis: a study of stress-responsive transcriptomes in Arabidopsis thaliana
- 负责人:
- DOI:
- doi:10.5061/dryad.41b9g
- 摘要:
- patterns in large-scale data sets. We present an ML-based methodology for transcriptome analysis via comparison of gene coexpression networks, implemented
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
Data from: Geographies of an online social network
- 负责人:
- DOI:
- doi:10.5061/dryad.33ps4
- 摘要:
- communication networks. For a further analysis we introduced a coarser granularity: We identified the settlements with the nodes of a network and assigned two kinds
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
Data from: Using network analysis to study behavioural phenotypes: an example using domestic dogs
- 负责人:
- Goold, Conor
- DOI:
- doi:10.5061/dryad.81k11
- 摘要:
- by demonstrating the use of network analysis on survey data collected on behavioural and motivational characteristics of police patrol and detection dogs
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
Data from: Is the tree of life the best metaphor, model or heuristic for phylogenetics?
- 负责人:
- DOI:
- doi:10.5061/dryad.qh53c
- 摘要:
- mple to complex, has benefits for the analysis. Finally, I note that, as a heuristic, an unrooted network has many advantages over the use of a rooted tree