Optimal classification for time-course gene expression data using functional data analysis

DOI10.1016/j.compbiolchem.2008.07.007zbMath1158.62085OpenAlexW2073132049WikidataQ33364661 ScholiaQ33364661MaRDI QIDQ1004958

Joon Jin Song, Weiguo Deng, Deukwoo Kwon, Ho-Jin Lee

Publication date: 12 March 2009

Published in: Computational Biology and Chemistry (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.compbiolchem.2008.07.007

zbMATH Keywords

classificationfunctional data analysisfunctional principal components analysistime-course gene expression

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Genetics and epigenetics (92D10)

Related Items (12)

A survey of functional principal component analysis ⋮ Classification for high-throughput data with an optimal subset of principal components ⋮ Classification with incomplete functional covariates ⋮ On statistical classification with incomplete covariates via filtering ⋮ Sensible functional linear discriminant analysis ⋮ Functional classification of bitcoin addresses ⋮ Optimal classification of Gaussian processes in homo- and heteroscedastic settings ⋮ Projection-based classification for functional data ⋮ Variation pattern classification of functional data ⋮ Classification Using Censored Functional Data ⋮ Functional sufficient dimension reduction for functional data classification ⋮ Bootstrap aggregated classification for sparse functional data

Uses Software

• fda (R)

Cites Work

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• Functional data analysis
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• Clustering of time-course gene expression data using functional data analysis
• On Using Principal Components Before Separating a Mixture of Two Multivariate Normal Distributions
• Comparison of Discrimination Methods for the Classification of Tumors Using Gene Expression Data
• Model-Based Clustering, Discriminant Analysis, and Density Estimation

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