Assessing agreement of clustering methods with gene expression microarray data

Computational Statistics and Data Analysis

Volumn 52, Issue 12, 2008, Pages 5356-5366

  Liu, Xueli ^a,b   Lee, Sheng Chien ^c   Casella, George ^a,b   Peter, Gary F ^b  

^a University of Florida ^*  (United States)

^b UNIVERSITY OF FLORIDA   (United States)

^c University of Florida   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOACTIVITY; BOOLEAN FUNCTIONS; CLUSTER ANALYSIS; FLOW OF SOLIDS; FUNCTION EVALUATION; GENE EXPRESSION; GENES; LAWS AND LEGISLATION;

(E ,3E) PROCESS; (MIN ,MAX ,+) FUNCTIONS; APPLIED (CO); CLASSIFICATION METHODS; CLUSTERING METHODS; CO REGULATION; GENE EXPRESSION (MICROARRAY) DATA; GENOMICS; K MEANS; MICROARRAY DATA; NEURAL NET; OBJECTIVE CRITERIA; OBJECTIVE MEASURES; WEIGHTING SCHEMES;

CLUSTERING ALGORITHMS;

EID: 47749085849     PISSN: 01679473     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.csda.2008.06.004     Document Type: Article

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