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

Computational Biology and Chemistry

Volumn 32, Issue 6, 2008, Pages 426-432

  Song, Joon Jin ^a   Deng, Weiguo ^a   Lee, Ho Jin ^b   Kwon, Deukwoo ^c  

^a UNIVERSITY OF ARKANSAS   (United States)

^b MERCK RESEARCH LABORATORIES   (United States)

^c NATIONAL CANCER INSTITUTE   (United States)

Author keywords

Classification; Functional data analysis; Functional principal component analysis; Time course gene expression

Indexed keywords

BIOACTIVITY; CLASSIFIERS; GENE EXPRESSION; LEARNING SYSTEMS; MEDICAL APPLICATIONS; MEDICAL PROBLEMS; STATISTICAL METHODS;

CLASSIFICATION; CLASSIFICATION METHODS; CLASSIFICATION TECHNIQUES; CROSS-VALIDATION; DATA ANALYSIS; FUNCTIONAL DATA ANALYSES; FUNCTIONAL DATA ANALYSIS; FUNCTIONAL PRINCIPAL COMPONENT ANALYSES; FUNCTIONAL PRINCIPAL COMPONENT ANALYSIS; GENE CLASSIFICATIONS; GENE EXPRESSION DATUM; GENE EXPRESSION PROFILES; MEDICAL RESEARCHES; MICROARRAY TECHNOLOGIES; OPTIMAL CLASSIFICATIONS; OPTIMAL CLASSIFIERS; OPTIMAL NUMBERS; PRIMARY OBJECTIVES; PRINCIPAL COMPONENTS; REAL WORLDS; SIMULATION STUDIES; SMOOTHING; TEST SAMPLES; TIME-COURSE GENE EXPRESSION; TRAINING SAMPLES; UNIFIED APPROACHES; UNKNOWN CLASSES;

PRINCIPAL COMPONENT ANALYSIS;

ARTICLE; CYTOLOGY; GENE; GENE EXPRESSION; GENETICS; YEAST;

GENE EXPRESSION; GENES, CDC; YEASTS;

EID: 54149112329     PISSN: 14769271     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compbiolchem.2008.07.007     Document Type: Article

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