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

Pattern Recognition

Volumn 43, Issue 12, 2010, Pages 3969-3976

  Zhang, Wei Feng ^a   Liu, Chao Chun ^b   Yan, Hong ^b  

^a SOUTH CHINA AGRICULTURAL UNIVERSITY   (China)

^b CITY UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Clustering; Energy operator; Regularized regression; Spline model; Temporal gene expression data analysis

Indexed keywords

B-SPLINE EXPANSION; CLUSTERING; CLUSTERING ANALYSIS; CLUSTERING APPROACH; CLUSTERING RESULTS; ENERGY OPERATORS; GENE EXPRESSION DATA; GENE EXPRESSION PROFILES; MISSING DATA; OBSERVED DATA; OPTIMAL NUMBER; OVERFITTING; REGULARIZATION PARAMETERS; REGULARIZED LEAST SQUARES; REGULARIZED REGRESSION; SECOND DERIVATIVES; SIMILARITY MEASURE; TEMPORAL GENE EXPRESSION DATA ANALYSIS; TEMPORAL INFORMATION; TEST SETS; TIME POINTS; TRADITIONAL CLUSTERING;

CLUSTER ANALYSIS; CLUSTERING ALGORITHMS; DATA MINING; REGRESSION ANALYSIS; SPLINES; TIME SERIES;

GENE EXPRESSION;

EID: 77957019076     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2010.07.011     Document Type: Article

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