Literature DB >> 8933055

Carcinogenicity predictions for a group of 30 chemicals undergoing rodent cancer bioassays based on rules derived from subchronic organ toxicities.

Y Lee1, B G Buchanan, H S Rosenkranz.   

Abstract

Rodent carcinogenicities for a group of 30 chemicals which form the subject of the Second NIEHS Predictive-Toxicology Evaluation Experiment are predicted based on their subchronic organ toxicities. Predictions are made by rules learned by the rule learning (RL) induction program.

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Year:  1996        PMID: 8933055      PMCID: PMC1469689          DOI: 10.1289/ehp.96104s51059

Source DB:  PubMed          Journal:  Environ Health Perspect        ISSN: 0091-6765            Impact factor:   9.031


  1 in total

1.  Learning rules to predict rodent carcinogenicity of non-genotoxic chemicals.

Authors:  Y Lee; B G Buchanan; D M Mattison; G Klopman; H S Rosenkranz
Journal:  Mutat Res       Date:  1995-05       Impact factor: 2.433

  1 in total
  2 in total

Review 1.  Paradigm shift in toxicity testing and modeling.

Authors:  Hongmao Sun; Menghang Xia; Christopher P Austin; Ruili Huang
Journal:  AAPS J       Date:  2012-04-20       Impact factor: 4.009

2.  The NIEHS Predictive-Toxicology Evaluation Project.

Authors:  D W Bristol; J T Wachsman; A Greenwell
Journal:  Environ Health Perspect       Date:  1996-10       Impact factor: 9.031

  2 in total

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