Chapter 3. Principles of Data Mining in Toxicogenomics

  1. Saura C. Sahu
  1. Yoko Hirabayashi1 and
  2. Tohru Inoue2

Published Online: 14 OCT 2008

DOI: 10.1002/9780470699638.ch3

Toxicogenomics: A Powerful Tool for Toxicity Assessment

Toxicogenomics: A Powerful Tool for Toxicity Assessment

How to Cite

Hirabayashi, Y. and Inoue, T. (2008) Principles of Data Mining in Toxicogenomics, in Toxicogenomics: A Powerful Tool for Toxicity Assessment (ed S. C. Sahu), John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9780470699638.ch3

Editor Information

  1. Division of Toxicology, Office of Applied Research and Safety Assessment, Center for Food Safety and Applied Nutrition, US Food and Drug Administration, Laurel, MD 20708, USA

Author Information

  1. 1

    Cellular & Molecular Toxicology Division, National Center for Biological Safety & Research, National Institute of Health Sciences, 1-18-1 Kamiyohga, Setagayaku, Tokyo, Japan

  2. 2

    National Center for Biological Safety & Research, National Institute of Health Sciences, 1-18-1 Kamiyohga, Setagayaku, Tokyo, Japan

Publication History

  1. Published Online: 14 OCT 2008
  2. Published Print: 10 OCT 2008

ISBN Information

Print ISBN: 9780470518236

Online ISBN: 9780470699638

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Keywords:

  • toxicogenomics and ‘expression gene microscope’;
  • single-individual gene-specific nucleotide polymorphism (SNP);
  • toxicogenomics and data mining principles;
  • International Life Science Institute (ILSI) consortium;
  • radiation-specific probabilistic union genes;
  • new risk evaluation strategy and gene expression profile;
  • murine spontaneous and radiation-induced myelogenous leukemias

Summary

This chapter contains sections titled:

  • Introduction

  • From gene Expression to Toxicological Application

  • Toxicogenomics

  • Mining of Information Provided by Toxicogenomics

  • Points to Consider in Data Mining Using Gene Chip and Microarray Technologies

  • Reproducibility of Microarray Data and Comparison among the Data Obtained from Different Platforms

  • Pathological and Toxicological Endpoints

  • Radiation-specific Probabilistic Union Genes after Subtracting Age-specific Gene Expressions

  • New Risk Evaluation Strategy Using Gene Expression Profiles

  • References