Application of clustering analyses to the diagnosis of Huntington disease in mice and other diseases with well-defined group boundaries

Computer Methods and Programs in Biomedicine

Volumn 104, Issue 3, 2011, Pages

  Nikas, Jason B ^a   Low, Walter C ^a  

^a UNIVERSITY OF MINNESOTA MEDICAL SCHOOL   (United States)

Author keywords

Clustering analyses; Diagnostic methods; Fuzzy Clustering; Hierarchical Clustering; Huntington disease; K means Clustering; Medoid Partitioning Clustering; Metabolomics; Nuclear magnetic resonance spectroscopy; Receiver operating characteristic (ROC) curve analysis

Indexed keywords

CLUSTERING ANALYSIS; DIAGNOSTIC METHODS; HIER-ARCHICAL CLUSTERING; HUNTINGTON DISEASE; K-MEANS CLUSTERING; MEDOID PARTITIONING CLUSTERING; METABOLOMICS; RECEIVER OPERATING CHARACTERISTIC (ROC) CURVE ANALYSIS;

DIAGNOSIS; MAMMALS; NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY; RESONANCE;

CLUSTERING ALGORITHMS;

ALGORITHM; ANIMAL EXPERIMENT; ANIMAL MODEL; ARTICLE; CLUSTER ANALYSIS; HUNTINGTON CHOREA; METABOLOMICS; MOUSE; NONHUMAN; NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY; TRANSGENIC MOUSE; WILD TYPE;

ANIMALS; CLUSTER ANALYSIS; HUNTINGTON DISEASE; MAGNETIC RESONANCE SPECTROSCOPY; METABOLOMICS; MICE; MICE, TRANSGENIC;

EID: 80655127860     PISSN: 01692607     EISSN: 18727565     Source Type: Journal    
DOI: 10.1016/j.cmpb.2011.03.004     Document Type: Article

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