Research Topics
| Christian BaumgartnerSummaryAffiliation: Medical Informatics and Technology Country: Austria Publications
| Collaborators
|
Detail Information
Publications
Profiling the human response to physical exercise: a computational strategy for the identification and kinetic analysis of metabolic biomarkersMichael Netzer
Research Group for Clinical Bioinformatics, Institute of Electrical, Electronic and Bioengineering, UMIT, 6060 Hall in Tirol, Austria
J Clin Bioinforma 1:34. 2011..abstract:..- Bioinformatic-driven search for metabolic biomarkers in diseaseChristian Baumgartner
Research Group for Clinical Bioinformatics, Institute of Electrical, Electronic and Bioengineering, University for Health Sciences, Medical Informatics and Technology UMIT, Hall in Tirol, Austria
J Clin Bioinforma 1:2. 2011..This review demonstrates that clinical bioinformatics has evolved into an essential element of biomarker discovery, translating new innovations and successes in profiling technologies and bioinformatics to clinical application... - A new data mining approach for profiling and categorizing kinetic patterns of metabolic biomarkers after myocardial injuryChristian Baumgartner
Research Group for Clinical Bioinformatics, Institute of Electrical, Electronic and Bioengineering, University for Health Sciences, Medical Informatics and Technology UMIT, A 6060 Hall in Tirol, Austria
Bioinformatics 26:1745-51. 2010..Patients with SMI and patients undergoing catheterization without induction of myocardial infarction served as positive and negative controls to assess generalizability of markers identified in PMI... - SeMoP: a new computational strategy for the unrestricted search for modified peptides using LC-MS/MS dataChristian Baumgartner
Barnett Institute and Department of Chemistry and Chemical Biology, Northeastern University, Boston, Massachusetts 02115, USA
J Proteome Res 7:4199-208. 2008..SeMoP is shown to be an effective and easily implemented approach for the discovery and verification of peptide modifications... - Supervised machine learning techniques for the classification of metabolic disorders in newbornsC Baumgartner
Research Group for Biomedical Data Mining, University for Health Sciences, Medical Informatics and Technology, Innrain 98, A 6020 Innsbruck, Austria
Bioinformatics 20:2985-96. 2004..6% compared to the established diagnostic markers). Our results clearly prove that the mined data confirm the known and indicate some novel metabolic patterns which may contribute to a better understanding of newborn metabolism... - Marfan syndrome--a diagnostic challenge caused by phenotypic and genetic heterogeneityC Baumgartner
Research Group for Biomedical Data Mining, University for Health Sciences, Medical Informatics and Technology, Hall i T, Austria
Methods Inf Med 44:487-97. 2005..Marfan syndrome (MFS) is an autosomal dominant inherited connective tissue disorder caused by mutations in the fibrillin-1 (FBN1) gene with variable clinical manifestations in the cardiovascular, musculoskeletal and ocular systems... - Biomarker discovery, disease classification, and similarity query processing on high-throughput MS/MS data of inborn errors of metabolismChristian Baumgartner
Research Group for Clinical Bioinformatics, Institute for Biomedical Engineering, University for Health Sciences, Medical Informatics and Technology, A 6060 Hall i T, Austria
J Biomol Screen 11:90-9. 2006..Some novel secondary candidates were identified (i.e., C16:1 and C4DC for PKU, C4DC for GA-I, and C18:1 forMCADD), which require further validation to confirm their biochemical role during health and disease... - A bioinformatics framework for genotype-phenotype correlation in humans with Marfan syndrome caused by FBN1 gene mutationsChristian Baumgartner
Research Group for Clinical Bioinformatics, University for Health Sciences, Medical Informatics and Technology, A 6060 Hall in Tyrol, Austria
J Biomed Inform 39:171-83. 2006..A data mining strategy for discovering diagnostic markers, classification and clustering of phenotypic expressions was provided which enabled us to confirm some known and to identify some new genotype-phenotype correlations... - Modelling of classification rules on metabolic patterns including machine learning and expert knowledgeChristian Baumgartner
Research Group for Biomedical Data Mining, Institute for Information Systems, University for Health Sciences, Medical Informatics and Technology, Innrain 98, A 6020 Innsbruck, Austria
J Biomed Inform 38:89-98. 2005..Both approaches yielded comparable classification accuracy in terms of sensitivity (>95.2%), while the LRA models built on flags showed significantly enhanced specificity. The number of false positive cases did not exceed 0.001%... - Functional cluster analysis of CT perfusion maps: a new tool for diagnosis of acute stroke?Christian Baumgartner
Institute for Information Systems, University for Health Sciences, Medical Informatics and Technology, Eduard Wallnöfer Zentrum 1, A 6060, Hall in Tirol, Austria
J Digit Imaging 18:219-26. 2005..Our preliminary results indicate that functional cluster analysis of CT perfusion maps may become a helpful tool for the interpretation of perfusion maps and provide a rapid means for the segmentation of ischemic tissue... - A new rule-based algorithm for identifying metabolic markers in prostate cancer using tandem mass spectrometryMelanie Osl
Institute of Biomedical Engineering, University for Health Sciences, Medical Informatics and Technology, Hall in Tyrol, Austria
Bioinformatics 24:2908-14. 2008..Prostate cancer is treatable by excision if detected at an early enough stage. The challenges of early diagnosis require the discovery of novel biomarkers and tools for prostate cancer management... - A cellular automaton framework for infectious disease spread simulationBernhard Pfeifer
Institute of Biomedical Engineering, University for Health Sciences, Medical Informatics and Technology, Austria
Open Med Inform J 2:70-81. 2008.... - Enhancing instance-based classification with local density: a new algorithm for classifying unbalanced biomedical dataClaudia Plant
Research Group for Clinical Bioinformatics, Institute for Biomedical Engineering, University for Health Sciences, Medical Informatics and Technology, Hall in Tyrol, Austria
Bioinformatics 22:981-8. 2006..The experimental evaluation on biomedical data demonstrates that our approach outperforms most popular classification methods. AVAILABILITY: The algorithm LCF is available for testing under http://biomed.umit.at/upload/lcfx.zip... - Systematic analysis of signaling pathways using an integrative environmentMahesh Visvanathan
Institute of Biomedical Engineering, University for Health Sciences, Medical Informatics annd Technology UMIT, Hall in Tyrol, Austria
Methods Inf Med 46:386-91. 2007..In this paper we introduce a new integrative environment for the systematic analysis of signaling pathways... - MUDE: a new approach for optimizing sensitivity in the target-decoy search strategy for large-scale peptide/protein identificationFabio R Cerqueira
Institute of Electrical, Electronic and Bioengineering IEBE, University for Health Sciences, Medical Informatics and Technology UMIT, Hall in Tirol, Austria
J Proteome Res 9:2265-77. 2010..Particularly for phosphopeptide/protein identifications, we could demonstrate more than a two-fold increase in sensitivity compared with the Trans-Proteomic Pipeline tools... - Metabolite profiling of blood from individuals undergoing planned myocardial infarction reveals early markers of myocardial injuryGregory D Lewis
Cardiology Division and Center for Immunology and Inflammatory Diseases, Massachusetts General Hospital, Boston, Massachusetts, USA
J Clin Invest 118:3503-12. 2008..Our results identify a role for metabolic profiling in the early detection of myocardial injury and suggest that similar approaches may be used for detection or prediction of other disease states... - Effect of data combination on predictive modeling: a study using gene expression dataMelanie Osl
Dept of Biomedical Sciences and Engineering, University of Health Sciences, Medical Informatics and Technology, Hall, Austria
AMIA Annu Symp Proc 2010:567-71. 2010..The quality of predictive modeling in biomedicine depends on the amount of data available for model building... - Impaired elastic properties of the ascending aorta in newborns before and early after successful coarctation repair: proof of a systemic vascular disease of the prestenotic arteries?Manfred Vogt
Department of Pediatric Cardiology and Congenital Heart Disease, , , Munich, Germany
Circulation 111:3269-73. 2005..Surgical correction does not resolve inborn pathology of the prestenotic aortic vascular bed... - Diagnostic power of aortic elastic properties in young patients with Marfan syndromeDaniela Baumgartner
Department of Pediatric Cardiology, Innsbruck Medical University, Innsbruck, Austria
J Thorac Cardiovasc Surg 129:730-9. 2005..We sought to quantify aortic wall dysfunction noninvasively, determine the diagnostic power of various aortic parameters, and establish a diagnostic model for the early detection of aortic abnormalities associated with Marfan syndrome... - Reduced aortic elastic properties in a child with Takayasu arteritis: case report and literature reviewDaniela Baumgartner
Division of Paediatric Cardiology, Department of Paediatrics, Innsbruck Medical University, Anichstrasse 35, 6020 Innsbruck, Austria
Eur J Pediatr 164:685-90. 2005..CONCLUSION: In patients with Takayasu arteritis, non-invasive quantification of reduced aortic elastic properties can help to assess aortic involvement, and possibly to follow disease activity and vascular response to therapy... - Different patterns of aortic wall elasticity in patients with Marfan syndrome: a noninvasive follow-up studyDaniela Baumgartner
Department of Pediatric Cardiology, Innsbruck Medical University, Innsbruck, Austria
J Thorac Cardiovasc Surg 132:811-9. 2006....