Exploring Developmental and Behavioral Heterogeneity among Preschoolers with ASD: A Cluster Analysis on Principal Components
Sign Up to like & getrecommendations! Published in 2020 at "Autism Research"
DOI: 10.1002/aur.2263
Abstract: Children with autism spectrum disorder (ASD) present with heterogeneous levels of abilities and deficits. The identification of subgroups within a specific age range could be useful for understanding prognosis and treatment planning. We applied Hierarchical… read more here.
Keywords: cluster characterized; autism; developmental behavioral; preschoolers asd ... See more keywords
On the substructure controls in rare variant analysis: Principal components or variance components?
Sign Up to like & getrecommendations! Published in 2018 at "Genetic Epidemiology"
DOI: 10.1002/gepi.22102
Abstract: Recent studies showed that population substructure (PS) can have more complex impact on rare variant tests and that similarity‐based collapsing tests (e.g., SKAT) may suffer more severely by PS than burden‐based tests. In this work,… read more here.
Keywords: variance components; substructure; principal components; rare variant ... See more keywords
Time domain principal component analysis for rapid, real-time 2D MRI reconstruction from undersampled data.
Sign Up to like & getrecommendations! Published in 2021 at "Medical physics"
DOI: 10.1002/mp.15238
Abstract: PURPOSE A rapid real-time 2D accelerated method was developed for MRI using principal component analysis (PCA) in the temporal domain. This method employs a moving window of previous dynamic frames to reconstruct the current, real-time… read more here.
Keywords: reconstruction; real time; time; method ... See more keywords
Multilevel hybrid principal components analysis for region‐referenced functional electroencephalography data
Sign Up to like & getrecommendations! Published in 2022 at "Statistics in Medicine"
DOI: 10.1002/sim.9445
Abstract: Electroencephalography experiments produce region‐referenced functional data representing brain signals in the time or the frequency domain collected across the scalp. The data typically also have a multilevel structure with high‐dimensional observations collected across multiple experimental… read more here.
Keywords: components analysis; referenced functional; region referenced; analysis ... See more keywords
Classification of samples from NMR-based metabolomics using principal components analysis and partial least squares with uncertainty estimation
Sign Up to like & getrecommendations! Published in 2018 at "Analytical and Bioanalytical Chemistry"
DOI: 10.1007/s00216-018-1240-2
Abstract: AbstractRecent progress in metabolomics has been aided by the development of analysis techniques such as gas and liquid chromatography coupled with mass spectrometry (GC-MS and LC-MS) and nuclear magnetic resonance (NMR) spectroscopy. The vast quantities… read more here.
Keywords: components analysis; classification; uncertainty; analysis ... See more keywords
Attribute selection using correlations and principal components for artificial neural networks employment for landslide susceptibility assessment
Sign Up to like & getrecommendations! Published in 2020 at "Environmental Monitoring and Assessment"
DOI: 10.1007/s10661-019-7968-0
Abstract: Landslide susceptibility maps can be developed with artificial neural networks (ANNs). In order to train our ANNs, a digital elevation model (DEM) and a scar map of one previous event were used. Eleven attributes are… read more here.
Keywords: susceptibility; neural networks; model; landslide susceptibility ... See more keywords
Parental participation in neonatal care
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Neonatal Nursing"
DOI: 10.1016/j.jnn.2016.11.001
Abstract: This study’s purpose was to identify the principal components of the neonatal care process with respect to parents’ views of parental participation, and to analyse the relationships between these variables and parents’ characteristics. To accomplish… read more here.
Keywords: participation; neonatal care; participation neonatal; parental participation ... See more keywords
Principal components regression and r-k class predictions in linear mixed models
Sign Up to like & getrecommendations! Published in 2018 at "Linear Algebra and its Applications"
DOI: 10.1016/j.laa.2018.01.001
Abstract: Abstract In this article, we propose the principal components regression and r-k class predictors, which combine the techniques of the ridge and principal components regressions in the linear mixed models. We demonstrate that the Henderson's… read more here.
Keywords: class; linear mixed; components regression; regression class ... See more keywords
MDexciteR: Enhanced Sampling Molecular Dynamics by Excited Normal Modes or Principal Components Obtained from Experiments.
Sign Up to like & getrecommendations! Published in 2023 at "Journal of chemical theory and computation"
DOI: 10.1021/acs.jctc.2c00599
Abstract: Molecular dynamics with excited normal modes (MDeNM) is an enhanced sampling method for exploring conformational changes in proteins with minimal biases. The excitation corresponds to injecting kinetic energy along normal modes describing intrinsic collective motions.… read more here.
Keywords: enhanced sampling; molecular dynamics; normal modes; excited normal ... See more keywords
Teaching Principal Components Using Correlations
Sign Up to like & getrecommendations! Published in 2017 at "Multivariate Behavioral Research"
DOI: 10.1080/00273171.2017.1340824
Abstract: ABSTRACT Introducing principal components (PCs) to students is difficult. First, the matrix algebra and mathematical maximization lemmas are daunting, especially for students in the social and behavioral sciences. Second, the standard motivation involving variance maximization… read more here.
Keywords: components using; variance explained; unit length; variance ... See more keywords
Principal components estimator for measurement error models
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Statistical Computation and Simulation"
DOI: 10.1080/00949655.2020.1713133
Abstract: ABSTRACT In this paper, we carry out the principal components regression approach to the measurement error models. We introduce the principal components estimator and then the restricted principal components estimator by combining the approaches principal… read more here.
Keywords: error models; error; estimator measurement; components estimator ... See more keywords