Cargando…

Patterns in longitudinal growth of refraction in Southern Chinese children: cluster and principal component analysis

In the present study we attempt to use hypothesis-independent analysis in investigating the patterns in refraction growth in Chinese children, and to explore the possible risk factors affecting the different components of progression, as defined by Principal Component Analysis (PCA). A total of 637...

Descripción completa

Detalles Bibliográficos
Autores principales:	Chen, Yanxian, Chang, Billy Heung Wing, Ding, Xiaohu, He, Mingguang
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group 2016
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5118713/ https://www.ncbi.nlm.nih.gov/pubmed/27874105 http://dx.doi.org/10.1038/srep37636

Ejemplares similares

Identifying Children at Risk of High Myopia Using Population Centile Curves of Refraction
por: Chen, Yanxian, et al.
Publicado: (2016)

Functional principal component analysis for identifying the child growth pattern using longitudinal birth cohort data
por: Karuppusami, Reka, et al.
Publicado: (2022)

The Application of Clustering on Principal Components for Nutritional Epidemiology: A Workflow to Derive Dietary Patterns
por: Maugeri, Andrea, et al.
Publicado: (2022)

Sufficient principal component regression for pattern discovery in transcriptomic data
por: Ding, Lei, et al.
Publicado: (2022)

A comparison of the dietary patterns derived by principal component analysis and cluster analysis in older Australians
por: Thorpe, Maree G., et al.
Publicado: (2016)

Pattern Recognition for Steam Flooding Field Applications Based on Hierarchical Clustering and Principal Component Analysis
por: Zhang, Na, et al.
Publicado: (2022)

Sub-clustering in skeletal class III malocclusion phenotypes via principal component analysis in a southern European population
por: de Frutos-Valle, L., et al.
Publicado: (2020)

Exposure to the Life of a School Child Rather Than Age Determines Myopic Shifts in Refraction in School Children
por: Ding, Xiaohu, et al.
Publicado: (2022)

Principal Components and Cluster Analysis of Trace Elements in Buckwheat Flour
por: Zhao, Mengyu, et al.
Publicado: (2023)

Pattern recognition by principal component analysis of border regions
por: Wind, H
Publicado: (1978)

Principal Component Pursuit for Pattern Identification in Environmental Mixtures
por: Gibson, Elizabeth A., et al.
Publicado: (2022)

Principal component analysis
por: Gray, Virginia
Publicado: (2017)

Principal component analysis
por: Jolliffe, I T
Publicado: (1986)

Principal component analysis
por: Jolliffe, I T
Publicado: (2002)

Clustering and principal-components approach based on heritability for mapping multiple gene expressions
por: Wang, Yuanjia, et al.
Publicado: (2007)

Cluster and Principal Component Analysis of Human Glioblastoma Multiforme (GBM) Tumor Proteome
por: Pooladi, Mehdi, et al.
Publicado: (2014)

Predicting the Prognosis of Multiple System Atrophy Using Cluster and Principal Component Analysis
por: Du, Juanjuan, et al.
Publicado: (2023)

Six-year changes in refraction and related ocular biometric factors in an adult Chinese population
por: Han, Xiaotong, et al.
Publicado: (2017)

Principal component analysis: development and initial validation of the mirror effects inventory
por: Ho, Wing W. Y.
Publicado: (2023)

Nutritional Components of Millet Porridge Cooked by Different Electric Cookers Based on Principal Component and Cluster Analyses
por: Zhang, Jiali, et al.
Publicado: (2022)

Exploring patterns enriched in a dataset with contrastive principal component analysis
por: Abid, Abubakar, et al.
Publicado: (2018)

Generalized principal component analysis
por: Vidal, René, et al.
Publicado: (2016)

Functional Principal Component Analysis and Randomized Sparse Clustering Algorithm for Medical Image Analysis
por: Lin, Nan, et al.
Publicado: (2015)

hcapca: Automated Hierarchical Clustering and Principal Component Analysis of Large Metabolomic Datasets in R
por: Chanana, Shaurya, et al.
Publicado: (2020)

Identification of 6 dermatomyositis subgroups using principal component analysis‐based cluster analysis
por: Zhu, Huiyi, et al.
Publicado: (2019)

Proximate Analysis and Nutritional Evaluation of Twenty Canadian Lentils by Principal Component and Cluster Analyses
por: Ramdath, D. Dan, et al.
Publicado: (2020)

Identification of COVID-19 Clinical Phenotypes by Principal Component Analysis-Based Cluster Analysis
por: Ye, Wenjing, et al.
Publicado: (2020)

Functional principal component analysis for identifying multivariate patterns and archetypes of growth, and their association with long-term cognitive development
por: Han, Kyunghee, et al.
Publicado: (2018)

Principal components of tau positron emission tomography and longitudinal tau accumulation in Alzheimer’s disease
por: Cho, Hanna, et al.
Publicado: (2020)

Longitudinal changes in intraocular pressure and association with systemic factors and refractive error: Lingtou Eye Cohort Study
por: Han, Xiaotong, et al.
Publicado: (2018)

Heritable patterns of tooth decay in the permanent dentition: principal components and factor analyses
por: Shaffer, John R, et al.
Publicado: (2012)

Principal component analysis, Pattern recognition for track finding, Interpolation and functional representation
por: Wind, H
Publicado: (1981)

Principal component analysis, Pattern recognition for track finding, Interpolation and functional representation
por: Wind, H
Publicado: (1982)

Developmental Effects on Pattern Visual Evoked Potentials Characterized by Principal Component Analysis
por: Patterson Gentile, Carlyn, et al.
Publicado: (2021)

Principal component neural networks : theory and applications
por: Diamantaras, Konstantinos I.
Publicado: (1996)

Characterizing early child growth patterns of height-for-age in an urban slum cohort of Bangladesh with functional principal component analysis
por: Zhang, Yin, et al.
Publicado: (2017)

CLUSFAVOR 5.0: hierarchical cluster and principal-component analysis of microarray-based transcriptional profiles
por: Peterson, Leif E
Publicado: (2002)

Principal component and clustering analysis on molecular dynamics data of the ribosomal L11·23S subdomain
por: Wolf, Antje, et al.
Publicado: (2012)

Microglia Morphological Categorization in a Rat Model of Neuroinflammation by Hierarchical Cluster and Principal Components Analysis
por: Fernández-Arjona, María del Mar, et al.
Publicado: (2017)

Discrimination of Chinese Liquors Based on Electronic Nose and Fuzzy Discriminant Principal Component Analysis
por: Wu, Xiaohong, et al.
Publicado: (2019)

Cannot write session to /tmp/vufind_sessions/sess_u8dg7i965vik3nab4e1gpl5q36