Cargando…

Principal Component Analysis applied directly to Sequence Matrix

Sequence data is now widely used to observe relationships among organisms. However, understanding structure of the qualitative data is challenging. Conventionally, the relationships are analysed using a dendrogram that estimates a tree shape. This approach has difficulty in verifying the appropriate...

Descripción completa

Detalles Bibliográficos
Autores principales:	Konishi, Tomokazu, Matsukuma, Shiori, Fuji, Hayami, Nakamura, Daiki, Satou, Nozomi, Okano, Kunihiro
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2019
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6917774/ https://www.ncbi.nlm.nih.gov/pubmed/31848355 http://dx.doi.org/10.1038/s41598-019-55253-0

Ejemplares similares

Principal component analysis for designed experiments
por: Konishi, Tomokazu
Publicado: (2015)

Principal component analysis of coronaviruses reveals their diversity and seasonal and pandemic potential
por: Konishi, Tomokazu
Publicado: (2020)

Validation in Principal Components Analysis Applied to EEG Data
por: Costa, João Carlos G. D., et al.
Publicado: (2014)

Principal component tests: applied to temporal gene expression data
por: Zhang, Wensheng, et al.
Publicado: (2009)

OS-PCA: Orthogonal Smoothed Principal Component Analysis Applied to Metabolome Data
por: Yamamoto, Hiroyuki, et al.
Publicado: (2021)

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)

Principal component analysis for ataxic gait using a triaxial accelerometer
por: Matsushima, Akira, et al.
Publicado: (2017)

Robust Adaptive Principal Component Analysis Based on Intergraph Matrix for Medical Image Registration
por: Leng, Chengcai, et al.
Publicado: (2015)

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

Early Seizure Detection by Applying Frequency-Based Algorithm Derived from the Principal Component Analysis
por: Lee, Jiseon, et al.
Publicado: (2017)

Principal Component Analysis Applications in COVID-19 Genome Sequence Studies
por: Wang, Bo, et al.
Publicado: (2021)

Dual-Principal Component Analysis of the Raman Spectrum Matrix to Automatically Identify and Visualize Microplastics and Nanoplastics
por: Luo, Yunlong, et al.
Publicado: (2022)

Applying stability selection to consistently estimate sparse principal components in high-dimensional molecular data
por: Sill, Martin, et al.
Publicado: (2015)

Principal component analysis networks and algorithms
por: Kong, Xiangyu, et al.
Publicado: (2017)

Principal Components Analysis of Population Admixture
por: Ma, Jianzhong, et al.
Publicado: (2012)

Resonant quantum principal component analysis
por: Li, Zhaokai, et al.
Publicado: (2021)

Risk prediction models for dementia constructed by supervised principal component analysis using miRNA expression data
por: Shigemizu, Daichi, et al.
Publicado: (2019)

Benchmarking principal component analysis for large-scale single-cell RNA-sequencing
por: Tsuyuzaki, Koki, et al.
Publicado: (2020)

GSA-PCA: gene set generation by principal component analysis of the Laplacian matrix of a metabolic network
por: Jacobson, Dan, et al.
Publicado: (2012)

Principal component analysis based unsupervised feature extraction applied to budding yeast temporally periodic gene expression
por: Taguchi, Y-h
Publicado: (2016)

Diagnosis of Dental Fluorosis Using Micro-Raman Spectroscopy Applying a Principal Component-Linear Discriminant Analysis
por: Zepeda-Zepeda, Marco Antonio, et al.
Publicado: (2021)

Quantitative Analysis of Velopharyngeal Movement by Applying Principal Component Analysis to Range Images Produced by a Three-Dimensional Endoscope
por: Nakano, Asuka, et al.
Publicado: (2017)

Advances in principal component analysis: research and development
por: Naik, Ganesh R
Publicado: (2017)

Nonlinear principal component analysis and its applications
por: Mori, Yuichi, et al.
Publicado: (2016)

Association tests based on the principal-component analysis
por: Oh, Sohee, et al.
Publicado: (2007)

A Genealogical Interpretation of Principal Components Analysis
por: McVean, Gil
Publicado: (2009)

Probabilistic principal component analysis for metabolomic data
por: Nyamundanda, Gift, et al.
Publicado: (2010)

Constrained principal component analysis and related techniques
por: Takane, Yoshio
Publicado: (2013)

Stochastic convex sparse principal component analysis
por: Baytas, Inci M., et al.
Publicado: (2016)

An Eigenvalue test for spatial principal component analysis
por: Montano, V., et al.
Publicado: (2017)

Covariate-Adjusted Hybrid Principal Components Analysis
por: Scheffler, Aaron Wolfe, et al.
Publicado: (2020)

Principal Component Analysis on Recurrent Venous Thromboembolism
por: Martins, Tiago D., et al.
Publicado: (2019)

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

Multiscale Principal Component Analysis-Signed Directed Graph Based Process Monitoring and Fault Diagnosis
por: Ali, Husnain, et al.
Publicado: (2022)

A user`s guide to principal components
por: Jackson, J. Edward
Publicado: (1991)

Exploring pleiotropy using principal components
por: Bensen, Jeannette T, et al.
Publicado: (2003)

The principal machine components of the LEP accelerator.
por: Jean-Luc Caron
Publicado: (1992)

Similarity relations of DNA and RNA polymerases investigated by the principal component analysis of amino acid sequences
por: Otsuka, Jinya, et al.
Publicado: (1999)

Cannot write session to /tmp/vufind_sessions/sess_2bro21ajd6e74r9p3ee3ifpbo3