An emergent self-organizing map based analysis pipeline for comparative metabolome studies

In Silico Biology

Volumn 9, Issue 4, 2009, Pages 163-178

  Haddad, Isam ^a   Hiller, Karsten ^b   Frimmersdorf, Eliane ^a   Benkert, Beatrice ^a   Schomburg, Dietmar ^a   Jahn, Dieter ^a  

^a TECHNICAL UNIVERSITY OF BRAUNSCHWEIG   (Germany)

^b Massachusetts Institute of Technology Cambridge   (United States)

Author keywords

Cluster analysis; Comparative metabolome data analysis; Emergent self organizing maps

Indexed keywords

DIHYDROXYACETONE PHOSPHATE; GLUCOSE 6 PHOSPHATE; MANNOSE; OXALIC ACID; PROLINE; RIBULOSE PHOSPHATE; XYLULOSE;

ALGORITHM; ARTICLE; CARBON SOURCE; CLUSTER ANALYSIS; COMPUTER ANALYSIS; COMPUTER PROGRAM; CONTROLLED STUDY; CORYNEBACTERIUM GLUTAMICUM; DATA ANALYSIS SOFTWARE; DATA BASE; EMERGENT SELF ORGANIZING MAPS; HIGH THROUGHPUT SCREENING; METABOLOMICS; NONHUMAN; PHYLOGENETIC TREE; PRINCIPAL COMPONENT ANALYSIS; PROTEIN STRUCTURE;

CHROMATOGRAPHY, HIGH PRESSURE LIQUID; CLUSTER ANALYSIS; CORYNEBACTERIUM GLUTAMICUM; DATA INTERPRETATION, STATISTICAL; HIGH-THROUGHPUT SCREENING ASSAYS; MATHEMATICS; METABOLOME; METABOLOMICS; PRINCIPAL COMPONENT ANALYSIS; SOFTWARE; TANDEM MASS SPECTROMETRY;

EID: 70449440581     PISSN: 14343207     EISSN: None     Source Type: Journal    
DOI: 10.3233/ISB-2009-0396     Document Type: Article

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