Robust detection and verification of linear relationships to generate metabolic networks using estimates of technical errors

BMC Bioinformatics

Volumn 8, Issue , 2007, Pages

  Kose, Frank ^a   Budczies, Jan ^b   Holschneider, Matthias ^a   Fiehn, Oliver ^c  

^a UNIVERSITY OF POTSDAM   (Germany)

^b CHARITÉ UNIVERSITÄTSMEDIZIN BERLIN   (Germany)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL CONTROLS; BIOLOGICAL FACTORS; CELLULAR REGULATION; LINEAR RELATIONSHIPS; METABOLIC PATHWAYS; METABOLIC RELATIONSHIPS; RELATIVE STANDARD DEVIATIONS; TECHNICAL MEASUREMENTS;

ALGORITHMS; BIOMOLECULES; MEASUREMENT ERRORS; METABOLITES; STATISTICAL TESTS;

METABOLISM;

ALGORITHM; ARTICLE; BAYES THEOREM; CORRELATION COEFFICIENT; LINEAR SYSTEM; MAXIMUM LIKELIHOOD METHOD; METABOLOMICS; PROBABILITY; SENSITIVITY AND SPECIFICITY; SYSTEMATIC ERROR; VALIDATION PROCESS; BIOLOGICAL MODEL; COMPUTER SIMULATION; EVALUATION; METABOLISM; PHYSIOLOGY; REPRODUCIBILITY; SIGNAL TRANSDUCTION; STATISTICAL ANALYSIS; STATISTICAL MODEL;

PROTEOME;

ALGORITHMS; BAYES THEOREM; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; LINEAR MODELS; MODELS, GENETIC; MODELS, STATISTICAL; PROTEOME; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SIGNAL TRANSDUCTION;

EID: 34250782109     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-8-162     Document Type: Article

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