Assessing chronic liver toxicity based on relative gene expression data

Journal of Theoretical Biology

Volumn 254, Issue 2, 2008, Pages 308-318

  Kulkarni, Kedar ^a   Larsen, Peter ^a   Linninger, Andreas A ^a  

^a UNIVERSITY OF ILLINOIS AT CHICAGO   (United States)

Author keywords

Gene interaction networks; Micro array analysis; Problem inversion; Toxicology

Indexed keywords

AROMATIC HYDROCARBON;

ARRAY; DRUG; GENE EXPRESSION; PREDICTION; RISK ASSESSMENT; RODENT; TOXICITY;

ANIMAL EXPERIMENT; ARTICLE; CHRONIC TOXICITY; CONTROLLED STUDY; FEMALE; GENE EXPRESSION; GENE INTERACTION; LIVER DISEASE; LIVER TOXICITY; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; MICROARRAY ANALYSIS; NONHUMAN; PHENOTYPE; PRIORITY JOURNAL; PROBLEM SOLVING; RAT; THEORETICAL MODEL;

ADENOMA, LIVER CELL; ANIMALS; FATTY LIVER; FEMALE; GENE EXPRESSION; GENE EXPRESSION PROFILING; HUMANS; LIVER; LIVER NEOPLASMS; MODELS, GENETIC; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; RATS; RATS, SPRAGUE-DAWLEY; RISK ASSESSMENT; TOXICOGENETICS;

ANIMALIA; RATTUS;

EID: 50149121377     PISSN: 00225193     EISSN: 10958541     Source Type: Journal    
DOI: 10.1016/j.jtbi.2008.05.032     Document Type: Article

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