A data mining approach to dinoflagellate clustering according to sterol composition: Correlations with evolutionary history

International Journal of Data Mining and Bioinformatics

Volumn 4, Issue 4, 2010, Pages 431-451

  Leblond, Jeffrey D ^a   Lasiter, Andrew D ^a   Li, Cen ^a   Logares, Ramiro ^b   Rengefors, Karin ^c   Evens, Terence J ^d  

^a MIDDLE TENNESSEE STATE UNIVERSITY   (United States)

^b UPPSALA UNIVERSITY   (Sweden)

^c LUND UNIVERSITY   (Sweden)

^d U S HORTICULTURAL RESEARCH LABORATORY   (United States)

Author keywords

Bioinformatics; Cluster validation; Clustering; Data mining; Dinoflagellate; Knowledge discovery; Phylogeny analysis; Sterol

Indexed keywords

RIBOSOME DNA; RNA 18S; STEROL;

ANIMAL; CHEMISTRY; CLASSIFICATION; CLUSTER ANALYSIS; DATA MINING; DINOFLAGELLATE; EVOLUTION; GENETICS; METABOLISM; PHYLOGENY; PROCEDURES;

ANIMALS; BIOLOGICAL EVOLUTION; CLUSTER ANALYSIS; DATA MINING; DINOFLAGELLIDA; DNA, RIBOSOMAL; PHYLOGENY; RNA, RIBOSOMAL, 18S; STEROLS;

EID: 77954752951     PISSN: 17485673     EISSN: 17485681     Source Type: Journal    
DOI: 10.1504/IJDMB.2010.034198     Document Type: Article

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