Text Mining Effectively Scores and Ranks the Literature for Improving Chemical-Gene-Disease Curation at the Comparative Toxicogenomics Database

PLoS ONE

Volumn 8, Issue 4, 2013, Pages

  Davis, Allan Peter ^a   Wiegers, Thomas C ^a   Johnson, Robin J ^b   Lay, Jean M ^b   Lennon Hopkins, Kelley ^b   Saraceni Richards, Cynthia ^b   Sciaky, Daniela ^b   Murphy, Cynthia Grondin ^a   Mattingly, Carolyn J ^a  

^a NORTH CAROLINA STATE UNIVERSITY   (United States)

^b MOUNT DESERT ISLAND BIOLOGICAL LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CADMIUM; COBALT; COPPER; HEAVY METAL; LEAD; MANGANESE; MERCURY; NICKEL;

ALGORITHM; ARTICLE; BATCH PROCESS; COMPARATIVE TOXICOGENOMICS DATABASE; CONTROLLED STUDY; DATA BASE; DATA MINING; FEASIBILITY STUDY; GENE INTERACTION; HUMAN; STATISTICAL SIGNIFICANCE; WORKFLOW;

ALGORITHMS; DATA MINING; DATABASES, FACTUAL; DISEASE; DOCUMENTATION; HUMANS; METALS, HEAVY; MOLECULAR SEQUENCE ANNOTATION; PUBLICATIONS; REPRODUCIBILITY OF RESULTS; TOXICOGENETICS;

EID: 84876279267     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0058201     Document Type: Article

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