Fakultät Statistik
Technische Universität Dortmund
44221 Dortmund
Sprechzeiten
per Emailanfrage
Forschung / Arbeitsgebiete
Bayesianische Methoden
Clusteranalyse
Bioinformatik
Diplomarbeit / Master Thesis
Fritsch, A. (2006): A Full Bayesian Version of Logic Regression for SNP Data, Fakultät Statistik, TU Dortmund.
R-Paket
R-Paket mcclust für die Verarbeitung eines MCMC-Samples von Clusterungen auf CRAN verfügbar.
Publikationen
Weihs, C., Mersmann, O., Bischl, B., Fritsch, A. and Trautmann, H. (2010): A Case Study on the Use of Statistical Classification Methods in Particle Physics, In Proceedings of the Second Meeting on Statistics and Data Mining, Hammamet, Tunisia, pp. 1-7.
Fritsch, A. and Ickstadt, K. (2009): Improved Criteria for Clustering Based on the Posterior Similarity Matrix, Bayesian Analysis 4, 367-392. (pdf)
Podwojski, K., Fritsch, A., Chamrad, D.C., Paul, W., Sitek, B., Stühler, K., Mutzel, P., Stephan, C., Meyer, H.E., Urfer, W., Ickstadt, K. and Rahnenführer, J. (2009): Retention Time Alignment Algorithms for LC/MS Data must consider Nonlinear Shifts, Bioinformatics 25, 758-764.
Bornkamp, B., Fritsch, A., Kuss, O. and Ickstadt, K. (2009): Penalty Specialists Among Goalkeepers: A Nonparametric Bayesian Analysis of 44 Years of the German Bundesliga. In Schipp, B. and Krämer, W. (Eds.): Statistical Inference, Econometric Analysis and Matrix Algebra. Festschrift in Honour of Götz Trenkler, pp. 63-76. Physica-Verlag, Heidelberg.
Podwojski, K., Fritsch, A., Chamrad, D., Paul, W., Mutzel, P. Ickstadt, K. and Rahnenführer, J. (2008): A retention time alignment algorithm for LC/MS data. In: Fifth International Workshop on Computational Systems Biology , pp. 129-132, TICSP series # 41, Tampere, Finland.
Fritsch, A. and Ickstadt, K. (2008): An Improved Criterion for Clustering Based on the Posterior Similarity Matrix, Technical Report, Fakultät Statistik, Technische Universität Dortmund, Germany. (pdf)
Ickstadt, K., Schäfer, M., Fritsch, A., Schwender, H., Abel, J., Bolt, H.M., Brüning, T. Ko, Y., Vetter, H. and Harth, V. (2008): Statistical Methods for Detecting Genetic Interactions: A Head and Neck Squamous Cell Cancer Study. Journal of Toxicology and Environmental Health 71, 803-815.
Fritsch, A. and Ickstadt, K. (2007): Comparing Logic Regression Based Methods for Identifying SNP Interactions. In S. Hochreiter and R. Wagner (Eds.): Bioinformatics in Research and Development 2007, LNBI 4414, pp. 90-103. Springer, Berlin.
Kubczak, C., Margaria, T., Fritsch, A. and Steffen, B. (2006): Biological LC/MS Preprocessing and Analysis with jABC, jETI, and xcms. In: ISoLA - 2nd International Symposium on Leveraging Applications of Formal Methods, Verification and Validation, pp. 308-313. IEEE Computer Society Press.
Taeger, D., Fritsch, A., Wiethege, T., Johnen, G., Eisenmenger, A., Wesch, H., Ko, Y., Stier, S., Michael-Mueller, K., Brüning, T. and Pesch B. (2006): Role of exposure to radon and silicosis on the cell type of lung carcinoma in German uranium miners. Cancer 106, 881-889.
Book Reviews
Elementary Bayesian Biostatistics by L.A. Moyé (2008). In Biometrical Journal 51, 546-547 (2009).
