Results 21 to 30 of about 26,032,742 (276)
Dissecting the null model for biological invasions: A meta-analysis of the propagule pressure effect. [PDF]
PLoS Biol, 2018 A consistent determinant of the establishment success of alien species appears to be the number of individuals that are introduced to found a population (propagule pressure), yet variation in the form of this relationship has been largely unexplored ...
Cassey P +4 more
europepmc +2 more sources
A null model for Pearson coexpression networks. [PDF]
PLoS One, 2015 Abstract Gene coexpression networks inferred by correlation from high-throughput profiling such as microarray data represent a simple but effective technique for discovering and interpreting linear gene relationships. In the last years several approach have been proposed to tackle the problem of deciding when the resulting correlation ...
Gobbi A, Jurman G.
europepmc +6 more sources
BIGL: Biochemically Intuitive Generalized Loewe null model for prediction of the expected combined effect compatible with partial agonism and antagonism. [PDF]
Sci Rep, 2017 Clinical efficacy regularly requires the combination of drugs. For an early estimation of the clinical value of (potentially many) combinations of pharmacologic compounds during discovery, the observed combination effect is typically compared to that ...
Van der Borght K +7 more
europepmc +2 more sources
Was Lates late? A null model for the Nile perch boom in Lake Victoria. [PDF]
PLoS One, 2013 Nile perch (Lates niloticus) suddenly invaded Lake Victoria between 1979 and 1987, 25 years after its introduction in the Ugandan side of the lake. Nile perch then replaced the native fish diversity and irreversibly altered the ecosystem and its role to ...
Downing AS +6 more
europepmc +2 more sources
Null Model Analysis of Species Co-Occurrence Patterns
Ecology, 2000 Nicholas J Gotelli
exaly +4 more sources
Random Graphs with Prescribed K-Core Sequences: A New Null Model for Network Analysis [PDF]
The Web Conference, 2021 In the analysis of large-scale network data, a fundamental operation is the comparison of observed phenomena to the predictions provided by null models: when we find an interesting structure in a family of real networks, it is important to ask whether ...
K. V. Koevering +2 more
semanticscholar +1 more source
Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model [PDF]
International Conference on Learning Representations, 2022 Most existing Image Restoration (IR) models are task-specific, which can not be generalized to different degradation operators. In this work, we propose the Denoising Diffusion Null-Space Model (DDNM), a novel zero-shot framework for arbitrary linear IR ...
Yinhuai Wang, Jiwen Yu, Jian Zhang
semanticscholar +1 more source
Hyper-Null Models and Their Applications
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. In this study, we introduce an innovative method to construct null models for hypergraphs, namely the hyperedge swapping-based method.
Yujie Zeng +3 more
openaire +3 more sources
A null model for Dunbar’s circles [PDF]
Physica A: Statistical Mechanics and its Applications, 2020 7 pages, 2 figures, 1 ...
Jiménez-Martín, Manuel +3 more
openaire +2 more sources
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. Nonetheless, a thorough investigation of how to generate null models for formal contexts is absent.
Maximilian Felde +2 more
openaire +2 more sources