Results 51 to 60 of about 212,419 (273)
Detecting Communities in Networks by Merging Cliques
, 2009 Many algorithms have been proposed for detecting disjoint communities (relatively densely connected subgraphs) in networks. One popular technique is to optimize modularity, a measure of the quality of a partition in terms of the number of intracommunity ...
Gregory, Steve, Yan, Bowen
core +2 more sources
Modularity, segregation, and interactions [PDF]
, 2002 This commentary considers how far one can go in making inferences about functional modularity or segregation, based on the sorts of analyses used by Caplan & Waters in relation to the underlying neuronal infrastructure. Specifically an attempt is made to
Friston, KJ
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Molecular Oncology, EarlyView.Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson +9 more
wiley +1 more source
A phase-shifting anterior-posterior network organizes global phase relations.
PLoS ONEPrior research has identified a variety of task-dependent networks that form through inter-regional phase-locking of oscillatory activity that are neural correlates of specific behaviors.
Melisa Menceloglu +2 more
doaj +1 more source
Acta Societatis Botanicorum Poloniae, 2014 Network modularity is a well-studied large-scale connectivity pattern in networks. The detection of modules in real networks constitutes a crucial step towards a description of the network building blocks and their evolutionary dynamics.
Thorsten Thiergart +4 more
doaj +1 more source
Spectral Graph Forge: Graph Generation Targeting Modularity
, 2018 Community structure is an important property that captures inhomogeneities common in large networks, and modularity is one of the most widely used metrics for such community structure.
Baldesi, Luca +2 more
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, 2011 We introduce Modular Markovian Logic (MML) for compositional continuous-time and continuous-space Markov processes. MML combines operators specific to stochastic logics with operators reflecting the modular structure of the models, similar to those used by spatial and separation logics.
Cardelli L., Larsen K.G., Mardare R.
openaire +3 more sources
Rethinking plastic waste: innovations in enzymatic breakdown of oil‐based polyesters and bioplastics
FEBS Open Bio, EarlyView.Plastic pollution remains a critical environmental challenge, and current mechanical and chemical recycling methods are insufficient to achieve a fully circular economy. This review highlights recent breakthroughs in the enzymatic depolymerization of both oil‐derived polyesters and bioplastics, including high‐throughput protein engineering, de novo ...
Elena Rosini +2 more
wiley +1 more source
Modularity and anti-modularity in networks with arbitrary degree distribution
Biology Direct, 2010 Background Much work in systems biology, but also in the analysis of social network and communication and transport infrastructure, involves an in-depth analysis of local and global properties of those networks, and how these properties relate to the ...
Adami Christoph, Hintze Arend
doaj +1 more source
FEBS Open Bio, EarlyView.RoboMic is an automated confocal microscopy pipeline for high‐throughput functional imaging in living cells. Demonstrated with fluorescence recovery after photobleaching (FRAP), it integrates AI‐driven nuclear segmentation, ROI selection, bleaching, and analysis.
Selçuk Yavuz +6 more
wiley +1 more source