Dr. Carsten Henneges

Background

• Oct, 2001 - Oct, 2006: Studies of Bioinformatics at the University of Tübingen
• since November 2006: Research assistant at the center for bioinformatics (ZBIT), University of Tübingen

Research Interests

• machine learning
• ranking algorithms
• feature selection
• graph algorithms
• graphical visualization
• statistical data analysis

Current Projects

• proteomics data analysis
• metabolomics data analysis

Publications

• Predicting DNA-Binding Specificities of Eukaryotic Transcription Factors
  A. Schröder, J. Eichner, J. Supper, J. Eichner, D. Wanke, C. Henneges, A. Zell, Plos ONE, 2010, [PDF]
• A factorization method for the classification of infrared spectra
  C. Henneges, P. Laskov, E. Darmawan, J. Backhaus, B. Kammerer, A. Zell, BMC Bioinformatics, 2010, [PDF]
• Graphlet data mining of energetical interaction patterns in protein 3D structures
  C. Henneges, M. Röttig, O. Kohlbacher, A. Zell, ICNC, 2010, [PDF]
• Probabilistic Modeling of Conformational Space for 3D Machine Learning Approaches
  A. Jahn, G. Hinselmann, N. Fechner, C. Henneges, A. Zell, Molecular Informatics, 2010, [PDF]
• Optimal de novo design of MRM experiments for rapid assay development in targeted proteomics
  A. Bertsch, S. Jung, A. Zerck, N. Pfeifer, S. Nahnsen, C. Henneges, A. Nordheim, O. Kohlbacher, Journal of Proteome Research, 2010, [PDF]
• Ranking Methods for the Prediction of Frequent Top Scoring Peptides from Proteomics Data
  C. Henneges, G. Hinselmann, S. Jung, J. Madlung, W. Schütz, A. Nordheim, A. Zell, Journal of Proteomics and Bioinformatics, 2009,[PDF]
• Prediction of breast cancer by profiling of urinary RNA metabolites using SVM-based feature selection
  C. Henneges, D.Bullinger, R. Fux, N. Friese, H. Seeger, H. Neubauer, S. Laufer, C.H. Gleiter, M. Schwab, A. Zell, B. Kammerer, BMC Cancer, 2009, [PDF]
• An Artificial T cell Immune System for predicting MHC-II binding peptides
  C. Henneges, S. Huster, A.Zell, IEEE SSCI, 2009
• Modelling Tsunami Vulnerability: The Development of a Tsunami Inundation Model with Machine Learning Tools
  T. Häring, M. de Paly, C. Henneges, V. Hochschild, Digital Earth Summit on Geoinformatics, 2008
• Bioinformatical evaluation of modified nucleosides as biomedical markers in diagnosis of breast cancer
  D. Bullinger, H. Fröhlich, F. Klaus, H. Neubauer, A. Frickenschmidt, C. Henneges, A. Zell, S. Laufer, C. Gleiter, H. Liebich, B. Kammerer, Analytica Chimica Acta, 2008, [PDF]

Posters

• A machine learning approach for ranking of proteotypic peptides for MS
  C. Henneges, G.Hinselmann, J. Madlung, S. Jung, T. Lamkemeyer, A. Nordheim, A.Zell, Hupo 2008

Data and Software

• GroupRank - a model-based feature selection method ZIP Archive with Readme.
  Contributed under License
  
• JaRa - The Java Rankers JAR Archive with Readme.
  Contributed under License
  
• The Metabolomics Benchmark Dataset MBD
  Contributed under License
• BrierScoreMF ZIP Archive with readme
  Contributed under License

Office hours

• Monday-Friday, 10 a.m. to 18 p.m

Thesis

• Algorithmen zur Graphmustersuche für das Netzwerkanalysetool BiNA
  Universität Tübingen, 2006, [PDF]

Address, Phone, Fax, E-mail

Eberhard-Karls-Universität Tübingen

Wilhelm-Schickard-Institut für Informatik

Lehrstuhl Rechnerarchitektur

Sand 1

D - 72076 Tübingen

 

Germany

Tel: +49-7071-29-77 17 5

Fax: +49-7071-29-50 91

eMail: carsten henneges (at) gmx de