Research output per year
Research output per year
Project Details
Description
Clinical bioinformatics deals with the development and validation of computational methods for analyzing, modeling and validating of molecular and clinical data, aiding in diagnosis and therapy. Our main research focusses on the discovery of genomic and metabolomic biomarkers using data mining and machine learning techniques.
| Status | Active |
|---|---|
| Effective start/end date | 1/11/14 → … |
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
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Modeling and Classification of Kinetic Patterns of Dynamic Metabolic Biomarkers in Physical Activity
Breit, M., Netzer, M., Weinberger, K. M. & Baumgartner, C., 2015, In: PLoS Computational Biology. 11(8), p. e1004454-e1004454Research output: Contribution to journal › Article › peer-review
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MUMAL2: Improving sensitivity in shotgun proteomics us- ing cost sensitive artificial neural networks and a threshold selector algorithm
Cerqueira, F. R., Ricardo, A. M., Oliveira, A. P., Graber, A. & Baumgartner, C., 2015, (Accepted/In press) Proceedings of 11th International Conference of the AB3C + Brazilian Symposium of Bioinformatics. .Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
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A clinical metabolomics strategy to discover new biomarkers in complex diseases: an overview
Baumgartner, C., 2013, Proceedings BMT 2013. ., p. 870-871Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review