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Data from: The causes of epistasis in genetic networks
负责人:
关键词:
epistasis;Models\/Simulations
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
Data from: Guppies occupy consistent positions in social networks: mechanisms and consequences
负责人:
Krause, Stefan
关键词:
network position social network analysis habitat manipulation environmental change
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
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
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
Data from: Validation of network communicability metrics for the analysis of brain structural networks.
负责人:
关键词:
Structural Connectivity;Neuroimaging diffusion
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
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
Data from: Machine learning-based differential network analysis: a study of stress-responsive transcriptomes in Arabidopsis thaliana
负责人:
关键词:
Systems biology;Arabidopsis thaliana;abiotic\/environmental stress;differential network;bioinformatics;transcriptome analysis;gene coexpression network;Random Forest;Machine Learning
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
Data from: Geographies of an online social network
负责人:
关键词:
towns;location;iWiW;online social network
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
Data from: Using network analysis to study behavioural phenotypes: an example using domestic dogs
负责人:
Goold, Conor
关键词:
Phenotypic integration Network analysis Dog behaviour Working dogs Personality
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
Data from: Is the tree of life the best metaphor, model or heuristic for phylogenetics?
负责人:
关键词:
affinity network;genealogical network;Modeling;phylogenetic network
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

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