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Functional principal component analysis of spatially correlated data [PDF]

, 2016
This paper focuses on the analysis of spatially correlated functional data. We propose a parametric model for spatial correlation and the between-curve correlation is modeled by correlating functional principal component scores of the functional data ...
Hooker, Giles, Liu, Chong, Ray, Surajit
core   +1 more source

Recursive principal components analysis [PDF]

Neural Networks, 2005
A recurrent linear network can be trained with Oja's constrained Hebbian learning rule. As a result, the network learns to represent the temporal context associated to its input sequence. The operation performed by the network is a generalization of Principal Components Analysis (PCA) to time-series, called Recursive PCA. The representations learned by
openaire   +4 more sources

Microbial exopolysaccharide production by polyextremophiles in the adaptation to multiple extremes

FEBS Letters, EarlyView.
Polyextremophiles are microorganisms that endure multiple extreme conditions by various adaptation strategies that also include the production of exopolysaccharides (EPSs). This review provides an integrated perspective on EPS biosynthesis, function, and regulation in these organisms, emphasizing their critical role in survival and highlighting their ...
Tracey M Gloster, Ebru Toksoy Öner
wiley   +1 more source

Use of Principal Component Analysis and Cluster Analysis for Differentiation of Traditionally-Manufactured Vinegars Based on Phenolic and Volatile Profiles, and Antioxidant Activity

Polish Journal of Food and Nutrition Sciences, 2020
This study aimed to characterize twelve vinegar samples produced by the traditional method with the use of whole fruits and without any preservatives in terms of their physicochemical properties, total phenolic content (TPC), total flavonoid content (TFC)
Ayse Karadag, Fatih Bozkurt, Hatice Bekiroglu, Osman Sagdic   +3 more
doaj   +1 more source

Covariance Matrix Preparation for Quantum Principal Component Analysis

PRX Quantum, 2022
Principal component analysis (PCA) is a dimensionality reduction method in data analysis that involves diagonalizing the covariance matrix of the dataset.
Max Hunter Gordon, M. Cerezo, Lukasz Cincio, Patrick J. Coles   +3 more
doaj   +1 more source

Modelling of Earphone Design Using Principal Component Analysis

Applied Sciences, 2023
This research investigated a mathematical model of earphone design with principal component analysis. Along with simplifying the design problem, a predictive model for the sound quality indicators, namely, total harmonic distortion, power of output ...
Lucas Kwai Hong Lui, C. K. M. Lee
doaj   +1 more source

The nicotinamide hypothesis revisited—plant defense signaling integrating PARP, nicotinamide, nicotinic acid, epigenetics, and glutathione

FEBS Letters, EarlyView.
Nicotinamide (NIC) and nicotinic acid (NIA) are proposed as stress signaling compounds in plants. Oxidative stress may lead to single strand breaks (SSB) in DNA, which activate poly(ADP‐ribose) polymerase (PARP). NIC and NIA are then formed from NAD. NIC and NIA can promote epigenetic changes leading to the expression of defense genes specific for the ...
Torkel Berglund, Anna B. Ohlsson
wiley   +1 more source

Principal Component Analysis of Weak Lensing Surveys

, 2005
We study degeneracies between cosmological parameters and measurement errors from cosmic shear surveys using a principal component analysis of the Fisher matrix.
Anderson, Bacon, Bacon, Bacon, Bartelmann, Brainerd, Brown, Colless, Contaldi, D. Munshi, Efstathiou, Efstathiou, Groch, Hamilton, Hamilton, Heavens, Hoekstra, Hoekstra, Hu, Hu, Huterer, Huterer, Hämmerle, Ishak, Jarvis, Kaiser, Kaiser, Kaiser, Kilbinger, Kilbinger, Kilbinger, M. Kilbinger, Maoli, Massey, Mastsubara, Mellier, Peacock, Rhodes, Rocha, Réfrégier, Réfrégier, Schneider, Schneider, Schneider, Schneider, Seljak, Spergel, Tegmark, Tegmark, Tereno, van Waerbeke, van Waerbeke, van Waerbeke, Vogeley, Wang, Wittman   +55 more
core   +4 more sources

Structural dynamics of the plant hormone receptor ETR1 in a native‐like membrane environment

FEBS Letters, EarlyView.
The present study unveils the structural and signaling dynamics of ETR1, a key plant ethylene receptor. Using an optimized nanodisc system and solution NMR, we captured full‐length ETR1 in a native‐like membrane environment. Our findings reveal dynamic domain uncoupling and Cu(I)‐induced rigidification, providing the first evidence of metal‐triggered ...
Moritz Lemke, Nils Alexander Lakomek, Georg Groth   +2 more
wiley   +1 more source

Probabilistic principal component analysis for metabolomic data

BMC Bioinformatics, 2010
Background Data from metabolomic studies are typically complex and high-dimensional. Principal component analysis (PCA) is currently the most widely used statistical technique for analyzing metabolomic data. However, PCA is limited by the fact that it is
Brennan Lorraine, Nyamundanda Gift, Gormley Isobel   +2 more
doaj   +1 more source