An integrated platform for analyzing molecular-biological data within clinical studies

2Citations
Citations of this article
8Readers
Mendeley users who have this article in their library.
Get full text

Abstract

To investigate molecular-biological causes and effects of diseases and their therapies it becomes increasingly important to combine data from clinical trials with high volumes of experimental genetic data and annotations. We present our approach to integrate such data for two large collaborative cancer research studies in Germany. Our platform interconnects a commercial study management system (eRN) with a data warehouse-based gene expression analysis system (GeWare). We utilize a generic approach to import different anonymized pathological and patient-related annotations into the warehouse. The platform also integrates different forms of experimental data and public molecular-biological annotation data and thus supports a wide range of genetic analyses for both clinical and non-clinical parameters. © Springer-Verlag Berlin Heidelberg 2006.

Cite

CITATION STYLE

APA

Kirsten, T., Lange, J., & Rahm, E. (2006). An integrated platform for analyzing molecular-biological data within clinical studies. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4254 LNCS, pp. 399–410). Springer Verlag. https://doi.org/10.1007/11896548_31

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free