Results 21 to 30 of about 2,360,279 (321)
Multivariate Analysis in Metabolomics
Current Metabolomics, 2012 Metabolomics aims to provide a global snapshot of all small-molecule metabolites in cells and biological fluids, free of observational biases inherent to more focused studies of metabolism. However, the staggeringly high information content of such global analyses introduces a challenge of its own; efficiently forming biologically relevant conclusions ...
Worley, Bradley, Powers, Robert
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Multivariate analysis of hydrophobic descriptors
ADMET and DMPK, 2014 Multivariate approaches like principal component analysis (PCA) are powerful tools to investigate hydrophobic descriptors and to discriminate between intrinsic hydrophobicity and polar contributions as hydrogen bonds and other electronic effects.
Stefan Dove
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Analysis of Modulated Multivariate Oscillations
, 2011 The concept of a common modulated oscillation spanning multiple time series is formalized, a method for the recovery of such a signal from potentially noisy observations is proposed, and the time-varying bias properties of the recovery method are derived.
Lilly, Jonathan M., Olhede, Sofia C.
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Multivariate Recurrence Analysis [PDF]
Journal of Climate, 1989 Abstract Recurrence analysis was introduced to infer the degree of separation between a “control” and an “anomaly” ensemble of, say, seasonal means simulated in general circulation model (GCM) experiments. The concept of recurrence analysis is described as a particular application of a statistical technique called multiple discriminant analysis (MDA ...
Zwiers, F., von Storch, H.
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Gravitational-Wave Detection using Multivariate Analysis
, 2013 Searches for gravitational-wave bursts (transient signals, typically of unknown waveform) require identification of weak signals in background detector noise. The sensitivity of such searches is often critically limited by non-Gaussian noise fluctuations
Adams, Thomas S. +5 more
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Special section on modern multivariate analysis
, 2012 A critically challenging problem facing statisticians is the identification of a suitable framework which consolidates data of various types, from different sources, and across different time frames or scales (many of which can be missing), and from ...
Kafadar, Karen
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Multivariate analysis of morphological variation in enset (Ensete ventricosum (Welw.) Cheesman) reveals regional and clinal variation in germplasm from south and south western Ethiopia [PDF]
, 2018 Enset (Ensete ventricosum (Welw.) Cheesman) is cultivated by millions of people across Ethiopia in diverse agro-ecological and cultural settings, selecting for various agronomic traits.
Chala, Alemayehu +4 more
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Multivariate Generalized Multiscale Entropy Analysis
Entropy, 2016 Multiscale entropy (MSE) was introduced in the 2000s to quantify systems’ complexity. MSE relies on (i) a coarse-graining procedure to derive a set of time series representing the system dynamics on different time scales; (ii) the computation of the ...
Anne Humeau-Heurtier
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Multivariate groundwater drought analysis using copulas
Hydrology Research, 2020 Drought characteristics are among major inputs in the planning and management of water resources. Although numerous studies on probabilistic aspects of meteorological drought characteristics and their joint distribution functions have been reported ...
Bahram Saghafian, Hamid Sanginabadi
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Permutation inference methods for multivariate meta-analysis
, 2019 Multivariate meta-analysis is gaining prominence in evidence synthesis research because it enables simultaneous synthesis of multiple correlated outcome data, and random-effects models have generally been used for addressing between-studies ...
Furukawa, Toshi A. +2 more
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