title: Informatics and multivariate analysis of toxicogenomics data.
abstract: The application of genomics methods to toxicology holds great promise. Toxicogenomics data mapping gene expression to predict toxicity and understand mechanisms are emerging, with data suggesting the possibility to classify, and eventually predict, toxic responses. The overall process of informatics analysis of microarray data is summarized. The relationship between the bioinformatics of gene expression and toxicogenomics is discussed, with reference to emerging themes that may be important as the field of toxicogenomics evolves. Emerging themes include the choice and validation of statistical methods, the use of gene annotation and the impact of genome sequence projects.
authors.affiliation: AstraZeneca R&D, Department of Molecular Sciences, Novum Research Park, 141 57 Huddinge, Sweden. Hugh.Salter@astrazeneca.com
authors.forename: A Hugh
authors.initials: AH
authors.lastname: Salter
authors.forename: Kerstin C
authors.initials: KC
authors.lastname: Nilsson
mesh_terms: D000818:Animals; D019295:Computational Biology / Q000706:statistics & numerical data*; D003627:Data Interpretation, Statistical; D016208:Databases, Factual; D006801:Humans; D015999:Multivariate Analysis; D020411:Oligonucleotide Array Sequence Analysis / Q000706:statistics & numerical data; D010597:Pharmacogenetics / Q000706:statistics & numerical data*; D011237:Predictive Value of Tests