Using chemometrics for navigating in the large data sets of genomics, proteomics, and metabonomics (gpm)

Analytical and Bioanalytical Chemistry

Volumn 380, Issue 3 SPEC.ISS., 2004, Pages 419-429

  Eriksson, Lennart ^a   Antti, Henrik ^b,d   Gottfries, Johan ^c,d   Holmes, Elaine ^b   Johansson, Erik ^a   Lindgren, Fredrik ^e   Long, Ingrid ^f   Lundstedt, Torbjörn ^f   Trygg, Johan ^d   Wold, Svante ^d  

^a Umetrics AB   (Sweden)

^b IMPERIAL COLLEGE LONDON   (United Kingdom)

^c ASTRAZENECA R AND D   (Sweden)

^d UMEÅ UNIVERSITY   (Sweden)

^e Umetrics AB   (Sweden)

^f UPPSALA UNIVERSITY   (Sweden)

Author keywords

Hierarchical modeling; Multivariate analysis; Omics data analysis; PCA; PLS

Indexed keywords

DATA STRUCTURES; NUCLEAR MAGNETIC RESONANCE; PRINCIPAL COMPONENT ANALYSIS; PROTEINS;

CHEMOMETRICS; DATA SETS; METABONOMICS; PARTIAL LEAST-SQUARES (PLS);

GENES;

AMIODARONE; CHLOROQUINE; G PROTEIN COUPLED RECEPTOR;

CELL CYCLE; CHEMOMETRICS; DENSITY; GENE CONTROL; GENOMICS; MALE; MICROORGANISM; MULTIVARIATE ANALYSIS; NOISE; NONHUMAN; NUCLEAR MAGNETIC RESONANCE; PRINCIPAL COMPONENT ANALYSIS; PROTEOMICS; RAT; REVIEW; SACCHAROMYCES CEREVISIAE; STRUCTURE ANALYSIS; URINALYSIS;

ANIMALS; CELL CYCLE; CHEMISTRY, ANALYTICAL; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION, FUNGAL; GENES, CDC; GENOMICS; LEAST-SQUARES ANALYSIS; METABOLISM; PHOSPHOLIPIDS; PRINCIPAL COMPONENT ANALYSIS; PROTEOMICS; RATS; RATS, SPRAGUE-DAWLEY; RECEPTORS, G-PROTEIN-COUPLED; SACCHAROMYCES CEREVISIAE;

SACCHAROMYCES; SACCHAROMYCES CEREVISIAE;

EID: 9944247186     PISSN: 16182642     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00216-004-2783-y     Document Type: Review

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