Results 111 to 120 of about 3,883,688 (301)
Auto Ball Covariance and Correlation for Fixed-Lag Nonlinear Dependence in Time Series
MathematicsClassical tools for time series dependence analysis are primarily designed for linear dependence and may fail to detect serial structure when a series is uncorrelated but not independent.
Qiang Zhang, Chaobang Gao
doaj +1 more source
Codifference can detect ergodicity breaking and non-Gaussianity
New Journal of Physics, 2019 We show that the codifference is a useful tool in studying the ergodicity breaking and non-Gaussianity properties of stochastic time series. While the codifference is a measure of dependence that was previously studied mainly in the context of stable ...
Jakub Ślęzak +2 more
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Reconstructing enzyme evolution by protein engineering
FEBS Letters, EarlyView.Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler +2 more
wiley +1 more source
A measure for spatial dependence in natural stochastic textures
, 2004 Random textures differ from natural textures because they lack structure. Structure is a concept that is difficult to formalize, but we generally observe that it is associated with spatial dependence between adjacent pixels.
Susstrunk S. +5 more
core +1 more source
Information theoretic measures of dependence, compactness, and non-gaussianity for multivariate probability distributions [PDF]
Nonlinear Processes in Geophysics, 2009 A basic task of exploratory data analysis is the characterisation of "structure" in multivariate datasets. For bivariate Gaussian distributions, natural measures of dependence (the predictive relationship between individual variables) and ...
A. H. Monahan, T. DelSole
doaj
Investigating transcription factor dynamics in health and disease using FRAP
FEBS Letters, EarlyView.FRAP analysis of GFP‐tagged transcription factors reveals how molecular mobility and target engagement change in response to drug treatment. By combining live‐cell imaging, quantitative model fitting, and statistical analysis, this approach uncovers transcription factor dynamics linked to disease mechanisms, providing a powerful framework for ...
Kannan Govindaraj +3 more
wiley +1 more source
Reframed GES with a Neural Conditional Dependence Measure
, 2022 In a nonparametric setting, the causal structure is often identifiable only up to Markov equivalence, and for the purpose of causal inference, it is useful to learn a graphical representation of the Markov equivalence class (MEC).
Hu, Shoubo +4 more
core
EntropyA functional measure encompasses quantum corrections and is explored in the fluid/gravity correspondence. Corrections to the response and transport coefficients in the second-order dissipative relativistic hydrodynamics are proposed, including those to ...
Iberê Kuntz, Roldao da Rocha
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Transport dependency: Optimal transport based dependency measures
The Annals of Applied ProbabilityFinding meaningful ways to measure the statistical dependency between random variables $ξ$ and $ζ$ is a timeless statistical endeavor. In recent years, several novel concepts, like the distance covariance, have extended classical notions of dependency to more general settings. In this article, we propose and study an alternative framework that is based
Nies, Thomas Giacomo +2 more
openaire +5 more sources
Conserved binding mode but diverse interfaces of MreC‐PBP2 interactions
FEBS Letters, EarlyView.The crystal structure of abMreC reveals a conserved two β‐barrel architecture and provides structural insights into its role within the bacterial elongasome. The abMreC–abPBP2 complex model identifies the molecular basis of MreC‐mediated PBP2 recognition, contributing to the regulation of peptidoglycan synthesis.
Hyunseok Jang +4 more
wiley +1 more source