Predicting interpretability of metabolome models based on behavior, putative identity, and biological relevance of explanatory signals

Proceedings of the National Academy of Sciences of the United States of America

Volumn 103, Issue 40, 2006, Pages 14865-14870

  Enot, David P ^a   Beckmann, Manfred ^a   Overy, David ^a   Draper, John ^a  

^a ABERYSTWYTH UNIVERSITY   (United Kingdom)

Author keywords

Mass spectral fingerprinting; Phenotyping; Random forest data analysis

Indexed keywords

ARABIDOPSIS; ARTICLE; DATA ANALYSIS; GENOTYPE; MASS SPECTROMETRY; METABOLOMICS; MODEL; NONHUMAN; PHENOTYPE; POTATO; PRIORITY JOURNAL; RANDOM FOREST DATA ANALYSIS; SIGNAL PROCESSING;

ARABIDOPSIS; MODELS, GENETIC; PHENOTYPE; SIGNAL TRANSDUCTION;

ARABIDOPSIS; SOLANUM TUBEROSUM;

EID: 33749535056     PISSN: 00278424     EISSN: None     Source Type: Journal    
DOI: 10.1073/pnas.0605152103     Document Type: Article

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