Clustering of temporal gene expression data by regularized spline regression and an energy based similarity measure

DOI10.1016/j.patcog.2010.07.011zbMath1207.68333OpenAlexW2022766999MaRDI QIDQ609108

Hong Yan, Wei-Feng Zhang, Chao-Chun Liu

Publication date: 30 November 2010

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2010.07.011

zbMATH Keywords

clusteringenergy operatorgene expression dataregularized regressionspline model

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10) Protein sequences, DNA sequences (92D20)

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Uses Software

• impute

Cites Work

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• An energy-based similarity measure for time series
• Clustering of unevenly sampled gene expression time-series data
• Towards improving fuzzy clustering using support vector machine: application to gene expression data
• A survey of kernel and spectral methods for clustering
• Clustering of time-course gene expression data using functional data analysis
• Clustering of time series data -- a survey