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A computational toxicogenomics approach identifies a list of highly hepatotoxic compounds from a large microarray database.
Rueda-Zárate, Héctor A; Imaz-Rosshandler, Iván; Cárdenas-Ovando, Roberto A; Castillo-Fernández, Juan E; Noguez-Monroy, Julieta; Rangel-Escareño, Claudia.
Affiliation
  • Rueda-Zárate HA; School of Engineering and Sciences, Tecnológico de Monterrey Mexico City, Mexico City, México.
  • Imaz-Rosshandler I; Computational Genomics Lab., Instituto Nacional de Medicina Genómica, Mexico City, México.
  • Cárdenas-Ovando RA; School of Engineering and Sciences, Tecnológico de Monterrey Mexico City, Mexico City, México.
  • Castillo-Fernández JE; Computational Genomics Lab., Instituto Nacional de Medicina Genómica, Mexico City, México.
  • Noguez-Monroy J; School of Engineering and Sciences, Tecnológico de Monterrey Mexico City, Mexico City, México.
  • Rangel-Escareño C; Computational Genomics Lab., Instituto Nacional de Medicina Genómica, Mexico City, México.
PLoS One ; 12(4): e0176284, 2017.
Article in En | MEDLINE | ID: mdl-28448553
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Oligonucleotide Array Sequence Analysis / Genomics / Cytotoxins / Databases, Genetic / Toxicogenetics / Liver Type of study: Prognostic_studies Limits: Animals / Humans Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2017 Document type: Article
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Oligonucleotide Array Sequence Analysis / Genomics / Cytotoxins / Databases, Genetic / Toxicogenetics / Liver Type of study: Prognostic_studies Limits: Animals / Humans Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2017 Document type: Article