A computational toxicogenomics approach identifies a list of highly hepatotoxic compounds from a large microarray database

Open Access

Peer-reviewed

Research Article

Héctor A. Rueda-Zárate,

Affiliation School of Engineering and Sciences, Tecnológico de Monterrey Mexico City, Mexico City, México
⨯
Iván Imaz-Rosshandler,

Affiliation Computational Genomics Lab., Instituto Nacional de Medicina Genómica, Mexico City, México
⨯
Roberto A. Cárdenas-Ovando,

Affiliation School of Engineering and Sciences, Tecnológico de Monterrey Mexico City, Mexico City, México
⨯
Juan E. Castillo-Fernández,

Affiliation Computational Genomics Lab., Instituto Nacional de Medicina Genómica, Mexico City, México
⨯
Julieta Noguez-Monroy,

Affiliation School of Engineering and Sciences, Tecnológico de Monterrey Mexico City, Mexico City, México
⨯
Claudia Rangel-Escareño

* E-mail: crangel@inmegen.gob.mx

Affiliation Computational Genomics Lab., Instituto Nacional de Medicina Genómica, Mexico City, México

http://orcid.org/0000-0003-1303-0834

⨯

Reader Comments (0)

Gene expression
Is the Subject Area "Gene expression" applicable to this article?

Thanks for your feedback.
Microarrays
Is the Subject Area "Microarrays" applicable to this article?

Thanks for your feedback.
Animal models
Is the Subject Area "Animal models" applicable to this article?

Thanks for your feedback.
Toxicity
Is the Subject Area "Toxicity" applicable to this article?

Thanks for your feedback.
Hierarchical clustering
Is the Subject Area "Hierarchical clustering" applicable to this article?

Thanks for your feedback.
Predictive toxicology
Is the Subject Area "Predictive toxicology" applicable to this article?

Thanks for your feedback.
Chemical compounds
Is the Subject Area "Chemical compounds" applicable to this article?

Thanks for your feedback.
Time series analysis
Is the Subject Area "Time series analysis" applicable to this article?

Thanks for your feedback.