Genomic Models of Short-Term Exposure Accurately Predict Long-Term Chemical Carcinogenicity and Identify Putative Mechanisms of Action

• Daniel Gusenleitner,

  Affiliations Bioinformatics Program, Boston University, Boston, Massachusetts, United States of America, Department of Computational Biomedicine, Boston University Medical Campus, Boston, Massachusetts, United States of America

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• Scott S. Auerbach,

  Affiliation Biomolecular Screening Branch, Division of the National Toxicology Program at the National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, North Carolina, United States of America

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• Tisha Melia,

  Affiliation Bioinformatics Program, Boston University, Boston, Massachusetts, United States of America

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• Harold F. Gómez,

  Affiliation Bioinformatics Program, Boston University, Boston, Massachusetts, United States of America

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• David H. Sherr,

  Affiliation Department of Environmental Health, Boston University School of Public Health, Boston, Massachusetts, United States of America

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• Stefano Monti

  * E-mail: smonti@bu.edu

  Affiliations Bioinformatics Program, Boston University, Boston, Massachusetts, United States of America, Department of Computational Biomedicine, Boston University Medical Campus, Boston, Massachusetts, United States of America

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