Next generation text-mining applied to toxicogenomics data analysis = Next-generation text-mining toegepast op toxicogenomics data analyse

K.M. Hettne

    Research output: ThesisDoctoral ThesisInternal

    365 Downloads (Pure)


    This dissertation describes how the interpretation of toxicogenomics data can be facilitated by information from scientific literature. Toxicogenomics (new technologies in toxicology, based on knowledge of the genome) is regarded as a promising technique to reduce animal tests. One of the conclusions of this dissertation is that a specific text-mining method (concept profile matching) can be used to link chemical information to experimental data to identify toxic effects at a very early stage. This is an important step towards reducing the use of test animals in the development of new medicines.
    Original languageEnglish
    QualificationDoctor of Philosophy
    Awarding Institution
    • Maastricht University
    • Kleinjans, Joseph, Supervisor
    • Lei, Jing, Supervisor
    • Kors, J.A., Co-Supervisor, External person
    Award date20 Dec 2012
    Place of PublicationMaastricht
    Print ISBNs978-94-6182-203-1
    Publication statusPublished - 1 Jan 2012


    • toxicogenomics
    • data
    • text-mining

    Cite this