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Volumn 18, Issue 4, 2002, Pages 536-545
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Clustering gene expression data using a graph-theoretic approach: An application of minimum spanning trees
a
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Author keywords
[No Author keywords available]
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Indexed keywords
CHITIN;
ARABIDOPSIS;
ARTICLE;
CLUSTER ANALYSIS;
COMPUTER PROGRAM;
CONTROLLED STUDY;
DATA ANALYSIS;
DECISION THEORY;
FIBROBLAST;
GENE EXPRESSION;
GENE FUNCTION;
GENETIC ALGORITHM;
GEOMETRY;
HUMAN;
HUMAN CELL;
INFORMATION PROCESSING;
MATHEMATICAL MODEL;
NONHUMAN;
PRIORITY JOURNAL;
SACCHAROMYCES CEREVISIAE;
ALGORITHM;
AUTOMATED PATTERN RECOGNITION;
BIOLOGICAL MODEL;
COMPARATIVE STUDY;
DECISION TREE;
GENE EXPRESSION PROFILING;
GENE EXPRESSION REGULATION;
GENETICS;
METABOLISM;
METHODOLOGY;
PHYSIOLOGY;
SENSITIVITY AND SPECIFICITY;
STATISTICAL MODEL;
ARABIDOPSIS;
SACCHAROMYCES;
SACCHAROMYCES CEREVISIAE;
ALGORITHMS;
ARABIDOPSIS;
CLUSTER ANALYSIS;
DECISION TREES;
FIBROBLASTS;
GENE EXPRESSION PROFILING;
GENE EXPRESSION REGULATION;
HUMANS;
MODELS, GENETIC;
MODELS, STATISTICAL;
PATTERN RECOGNITION, AUTOMATED;
SACCHAROMYCES CEREVISIAE;
SENSITIVITY AND SPECIFICITY;
SOFTWARE;
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EID: 0035999974
PISSN: 13674803
EISSN: 13674811
Source Type: Journal
DOI: 10.1093/bioinformatics/18.4.536 Document Type: Article |
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Times cited : (230)
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References (18)
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