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Title: A computational toxicogenomics approach identifies a list of highly hepatotoxic compounds from a large microarray databaseLanguage: InglésRepository: 34Subject: 1 naphthyl isothiocyanate / acetylsalicylic acid / allopurinol / allyl alcohol / amiodarone / azathioprine / benzbromarone / bromobenzene / carbamazepine / carbon tetrachloride / chlorpromazine / cimetidine / clofibrate / coumarin / cyclophosphamide / cytochrome P450 family 1 / diazepam / diclofenac / doxepin / ethionine / fluphenazine / flutamide / gemfibrozil / glibenclamide / griseofulvin / haloperidol / hexachlorobenzene / indometacin / paracetamol / unindexed drug / cytotoxin / algorithm / Article / cluster analysis / data base / gene expression / genomics / human / liver cell / liver toxicity / machine learning / microarray analysis / nonhuman / skin absorption / toxic hepatitis / xenobiotic metabolism / animal / DNA microarray / dose response / drug effects / genetic database / genetics / liver / metabolism / mouse / preclinical study / procedures / time factor / toxicogenetics / unsupervised machine learning / Animals / Chemical and Drug Induced Liver Injury / Cytotoxins / Databases, Genetic / Dose-Response Relationship, Drug / Drug Evaluation, Preclinical / Genomics / Humans / Liver / Mice / Oligonucleotide Array Sequence Analysis / Time Factors / Toxicogenetics / Unsupervised Machine Learning / 7 INGENIERÍA Y TECNOLOGÍA
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