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Oncology In Vivo Data Integration for Hypothesis Generation

Wei, Jia ; Chen, Ming

Journal of Integrative Bioinformatics - JIB (ISSN 1613-4516)


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Abstract:
AstraZeneca's Oncology in vivo data integration platform brings multidimensional data from animal model efficacy, pharmacokinetic and pharmacodynamic data to animal model profiling data and public in vivo studies. Using this platform, scientists can cluster model efficacy and model profiling data together, quickly identify responder profiles and correlate molecular characteristics to pharmacological response. Through meta-analysis, scientists can compare pharmacology between single and combination treatments, between different drug scheduling and administration routes.


Institution: Faculty of Technology, Research Groups in Informatics
DDC classification: Data processing, computer science, computer systems

Suggested Citation:
Oncology In Vivo Data Integration for Hypothesis Generation. Journal of Integrative Bioinformatics - JIB (ISSN 1613-4516), 9(2): Special Issue: 7th International Symposium on Integrative Bioinformatics, Hangzhou, China, 2012

Online-Journal: http://journal.imbio.de/article.php?aid=193
URL: http://biecoll.ub.uni-bielefeld.de/volltexte/2012/5220



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