Results 1 to 10 of about 418,693 (150)
Hyper-Null Models and Their Applications [PDF]
Entropy, 2023 Null models are crucial tools for investigating network topological structures. However, research on null models for higher-order networks is still relatively scarce.
Yujie Zeng +3 more
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Null Models for Formal Contexts [PDF]
Information, 2020 Null model generation for formal contexts is an important task in the realm of formal concept analysis. These random models are in particular useful for, but not limited to, comparing the performance of algorithms.
Maximilian Felde +2 more
doaj +5 more sources
Uncovering the Dependence of Cascading Failures on Network Topology by Constructing Null Models [PDF]
Entropy, 2019 Cascading failures are the significant cause of network breakdowns in a variety of complex infrastructure systems. Given such a system, uncovering the dependence of cascading failures on its underlying topology is essential but still not well explored in
Lin Ding +3 more
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Unraveling the molecular relevance of brain phenotypes: A comparative analysis of null models and test statistics [PDF]
NeuroImageCorrelating transcriptional profiles with imaging-derived phenotypes has the potential to reveal possible molecular architectures associated with cognitive functions, brain development and disorders.
Zhipeng Cao +11 more
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Comparing spatial null models for brain maps [PDF]
NeuroImage, 2021 Technological and data sharing advances have led to a proliferation of high-resolution structural and functional maps of the brain. Modern neuroimaging research increasingly depends on identifying correspondences between the topographies of these maps ...
Ross D. Markello, Bratislav Misic
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Better null models for assessing predictive accuracy of disease models. [PDF]
PLoS ONE, 2023 Null models provide a critical baseline for the evaluation of predictive disease models. Many studies consider only the grand mean null model (i.e. R2) when evaluating the predictive ability of a model, which is insufficient to convey the predictive ...
Alexander C Keyel, A Marm Kilpatrick
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Null models for gene enrichment in plasmids. [PDF]
Proc Natl Acad Sci U S A, 2021 The recent article by Che et al. (1) presents an analysis of a dataset of 14,029 plasmids. I enjoyed the paper but have some concerns about its analysis. While it is clear that more conjugative plasmids carry antimicrobial resistance (AMR) genes, it is unclear whether this is simply because conjugative plasmids tend to carry more genes in general ...
Shaw LP.
europepmc +5 more sources
A niche for null models in adaptive resource management. [PDF]
Ecol Evol, 2022 AbstractAs global systems rapidly change, our collective ability to predict future ecological dynamics will become increasingly important for successful natural resource management. By merging stakeholder objectives with system uncertainty, and by adapting actions to changing systems and knowledge, adaptive resource management (ARM) provides a rigorous
Koons DN +6 more
europepmc +5 more sources
NeuroImage, 2021 Null models are useful for assessing whether a dataset exhibits a non-trivial property of interest. These models have recently gained interest in the neuroimaging community as means to explore dynamic properties of functional Magnetic Resonance Imaging ...
Raphaël Liégeois +2 more
doaj +3 more sources
Alternative Definitions of Floral Resource Availability Alter Inferred Plant Importance in Plant‐Pollinator Networks [PDF]
Ecology and EvolutionNull models are widely used to infer pollinator preferences from plant‐pollinator visitation networks, but these inferences depend on how floral resource availability is defined.
Han Yan, Ian P. Vaughan, Jane Memmott
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