Titel
Achieving k-Anonymity in Data Marts Used for Gene Expressions Exploitation
Autor*in
Johann Eder
Autor*in
Konrad Stark
Autor*in
Kurt Zatloukal
Medizinische Universität Graz
Abstract
Gene expression profiling is a sophisticated method to discover differences in activation patterns of genes between different patient collectives. By reasonably defining patient groups from a medical point of view, subsequent gene expression analysis may reveal disease-related gene expression patterns that are applicable for tumor markers and pharmacological target identification. When releasing patient-specific data for medical studies privacy protection has to be guaranteed for ethical and legal reasons. k-anonymisation may be used to generate a sufficient number of k data twins in order to ensure that sensitive data used in analyses is protected from being linked to individuals. We use an adapted concept of k-anonymity for distributed data sources and include various customisation parameters in the anonymisation process to guarantee that the transformed data is still applicable for further processing. We present a real-world medical-relevant use case and show how the related data is materialised, anonymised, and released in a data mart for testing the related hypotheses.
Objekt-Typ
Sprache
Englisch [eng]
Persistent identifier
https://phaidra.univie.ac.at/o:243706
Erschienen in
Titel
Journal of Integrative Bioinformatics
Band
4(1)
Ausgabe
1
Seitenanfang
483
Seitenende
495
Erscheinungsdatum
01.01.2007
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