Evaluating microarrays using a semiparametric approach: Application to the central carbon metabolism of Escherichia coli BL21 and JM109

Genomics

Volumn 89, Issue 2, 2007, Pages 300-305

  Phue, Je Nie ^a   Kedem, Benjamin ^b   Jaluria, Pratik ^a   Shiloach, Joseph ^a  

^a NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES   (United States)

^b Bldg 142   (United States)

Author keywords

E. coli; Glucose metabolism; Microarray; Semiparametric algorithm

Indexed keywords

CARBON; GLUCOSE; GLYOXYLIC ACID; OXYGEN; RECOMBINANT PROTEIN;

ALGORITHM; ARTICLE; BACTERIAL GROWTH; BACTERIAL METABOLISM; CARBON METABOLISM; CITRIC ACID CYCLE; CONCENTRATION (PARAMETERS); DNA MICROARRAY; ENVIRONMENTAL FACTOR; ESCHERICHIA COLI; ESCHERICHIA COLI BL21; ESCHERICHIA COLI JM109; EVALUATION; GENE EXPRESSION REGULATION; GENOMICS; GLUCONEOGENESIS; GLYCOLYSIS; MATHEMATICAL ANALYSIS; MATHEMATICAL COMPUTING; NONHUMAN; OXYGEN CONCENTRATION; PARAMETRIC TEST; PENTOSE PHOSPHATE CYCLE; PRIORITY JOURNAL; PROTEIN SYNTHESIS; QUANTITATIVE ANALYSIS; SPECIES COMPARISON;

ALGORITHMS; CARBON; CITRIC ACID CYCLE; ESCHERICHIA COLI; FATTY ACIDS; GLUCONEOGENESIS; GLUCOSE; GLYCOLYSIS; GLYOXYLATES; MODELS, BIOLOGICAL; MODELS, GENETIC; MODELS, STATISTICAL; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PENTOSE PHOSPHATE PATHWAY; SPECIES SPECIFICITY;

ESCHERICHIA COLI;

EID: 33846107981     PISSN: 08887543     EISSN: 10898646     Source Type: Journal    
DOI: 10.1016/j.ygeno.2006.10.004     Document Type: Article

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