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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:
analysis has been used to extract spatial maps of resting-state networks with or without an atlas-based parcellation of the cortex. Since the links bet
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: 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: Can longitudinal generalized estimating equation models distinguish network influence and homophily? an agent-base
负责人:
关键词:
GEE Models;Network analysis;Network Influence
DOI:
doi:10.5061/dryad.v3s0k
摘要:
and/or network influence. Distinguishing between these two influences is an important goal in network analysis, and generalized estimating equation (GEE) analyses
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:
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: 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:
in the face of reticulations is not a semantic one. The tree metaphor/model/heuristic pre-supposes tree-like data, whereas the network allows the data
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:
ween control and stress networks, based on 33 network topological characteristics. Comparative evaluation of the network-centric and gene-centric
Data from: The importance of delineating networks by activity type in bottlenose dolphins (Tursiops truncatus) in Cedar Key, Florida
负责人:
关键词:
network bottlenose dolphin behaviour
DOI:
doi:10.5061/dryad.4r668
摘要:
, Florida. We consider three distinct behavioural states—socializing, travelling and foraging—and analyse the association networks corresponding to ea
Data from: Interaction networks of avian mixed-species flocks along elevation in the tropical Andes
负责人:
关键词:
Network analysis;Pair-wise analysis;Network turnover;Bolivia;Tropical Andes
DOI:
doi:10.5061/dryad.80gb5mknq
摘要:
. In this study, I use mixed-species flocks as model systems to gain insights on community and network structure. Specifically, I use co-occurrence network analyses

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