Results 1 to 10 of about 431,969 (110)
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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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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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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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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Comparing spatial null models for brain maps
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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Global Patterns and Drivers of Climatic Niche Originality and Overlap: Disentangling Ecological From Methodological Signals [PDF]
Ecology and EvolutionNiche overlap is widely used to study species coexistence and biodiversity patterns. However, because macroclimatic niches are typically estimated from species distributions, relationships between niche overlap and geographic range overlap may partly ...
Mathieu Chevalier +2 more
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A guide to null models for animal social network analysis. [PDF]
Methods Ecol Evol, 2017 Farine DR.
europepmc +2 more sources
Using coverage‐based rarefaction to infer non‐random species distributions
Ecosphere, 2021 Understanding how species are non‐randomly distributed in space and how the resulting spatial structure responds to ecological, biogeographic, and anthropogenic drivers is a critical piece of the biodiversity puzzle.
Thore Engel +6 more
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Null Models for Formal Contexts
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
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Ecology and Evolution, 2022 The mechanisms governing community assembly is fundamental to ecological restoration and clarification of the assembly processes associated with severe disturbances (characterized by no biological legacy and serious environmental problems) is essential ...
Ting Li +11 more
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