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JIB
2007

Achieving k-anonymity in DataMarts used for gene expressions exploitation

13 years 3 months ago
Achieving k-anonymity in DataMarts used for gene expressions exploitation
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 d...
Konrad Stark, Johann Eder, Kurt Zatloukal
Added 15 Dec 2010
Updated 15 Dec 2010
Type Journal
Year 2007
Where JIB
Authors Konrad Stark, Johann Eder, Kurt Zatloukal
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