title: A new insight into chemical mutagenesis by multivariate data analysis.
abstract: Computerized data analysis was applied to a genotoxicity data base, consisting of 42 chemicals assayed in 20 short-term mutagenicity tests. Factor and cluster analysis were used to elicit underlying patterns and to classify the chemicals in groups homogeneous for the kind of genetic damage induced. This analysis put in light a clear differentiation between effects in in vivo and in vitro systems, while the heuristic value of the traditional categories (such as point-mutation and chromosomal damage, or prokariotic and eukariotic systems) was not confirmed.
mesh_terms: D006801:Humans; D007256:Information Systems; D009152:Mutagenicity Tests; D009153:Mutagens / Q000145:classification; D013223:Statistics as Topic
chemical_list: D009153:Mutagens