Publications of O Stegle

Stegle, O.; Denby, K.; Cooke, E.; Wild, D.; Ghahramani, Z.; Borgwardt, K.: A Robust Bayesian Two-Sample Test for Detecting Intervals of Differential Gene Expression in Microarray Time Series. Journal of Computational Biology 17 (3), pp. 355 - 367 (2010)

Stegle, O.; Drewe, P.; Bohnert, R.; Borgwardt, K.; Rätsch, G.: Statistical Tests for Detecting Differential RNA-Transcript Expression from Read Counts. Nature Precedings 2010, pp. 1 - 11 (2010)

Stegle, O.; Parts, L.; Durbin, R.; Winn, J.: A Bayesian Framework to Account for Complex Non-Genetic Factors in Gene Expression Levels Greatly Increases Power in eQTL Studies. PLoS Computational Biology 6 (5), pp. 1 - 11 (2010)

Wong, H.; Stegle, O.; Rodgers, S.; Huppert, J.: A toolbox for predicting G-quadruplex formation and stability. Journal of Nucleic Acids 2010, 564946, pp. 1 - 6 (2010)

Janzing, D.; Sgouritsa, E.; Stegle, O.; Peters, J.; Schölkopf, B.: Detecting low-complexity unobserved causes. In: 27th Conference on Uncertainty in Artificial Intelligence (UAI 2011), pp. 383 - 391 (Eds. Cozman, F.; Pfeffer, A.). 27th Conference on Uncertainty in Artificial Intelligence (UAI 2011), Barcelona, Spain, July 14, 2011 - July 17, 2011. AUAI Press, Corvallis, OR, USA (2011)

Mooij, J.; Stegle, O.; Janzing, D.; Zhang, K.; Schölkopf, B.: Probabilistic latent variable models for distinguishing between cause and effect. Twenty-Fourth Annual Conference on Neural Information Processing Systems (NIPS 2010), Vancouver, BC, Canada, December 06, 2010 - December 11, 2010. Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010, pp. 1687 - 1695 (2011)

Rattray, M.; Stegle, O.; Sharp, K.; Winn, J.: Inference algorithms and learning theory for Bayesian sparse factor analysis. International Workshop on Statistical-Mechanical Informatics 2009 (IW-SMI 2009), Kyoto, Japan, September 13, 2009 - September 16, 2009. Journal of Physics: Conference Series 197 (1), 012002, pp. 1 - 10 (2009)

Stegle, O.; Denby, K.; Wild, D.; McHattie, S.; Mead, A.; Ghahramani, Z.; Borgwardt, K.: Discovering Temporal Patterns of Differential Gene Expression in Microarray Time Series. In: German Conference on Bioinformatics 2009 (GCB 2009), pp. 133 - 142 (Eds. Grosse, I.; Neumann, S.; Posch, S.; Schreiber, F.; Stadler, P.). German Conference on Bioinformatics 2009 (GCB 2009), Halle, Germany, September 28, 2009 - September 30, 2009. Gesellschaft für Informatik, Bonn, Germany (2009)

Stegle, O.; Denby, K.; Wild, D.; Ghahramani, Z.; Borgwardt, K.: A robust Bayesian two-sample test for detecting intervals of differential gene expression in microarray time series. In: Research in Computational Molecular Biology: 13th Annual International Conference, RECOMB 2009, Tucson, AZ, USA, May 18-21, 2009, pp. 201 - 216 (Ed. Batzoglou, S.). 13th Annual International Conference on Research in Computational Molecular Biology (RECOMB 2009), Tucson, AZ, USA, May 18, 2009 - May 21, 2009. Springer, Berlin, Germany (2009)

Lippert, C.; Stegle, O.; Ghahramani, Z.; Borgwardt, K.: A kernel method for unsupervised structured network inference. In: Twelfth International Conference on Artificial Intelligence and Statistics (AIStats 2009), pp. 368 - 375 (Eds. Van Dyk, D.; Welling, M.). Twelfth International Conference on Artificial Intelligence and Statistics (AIStats 2009), Clearwater Beach, FL, USA, April 16, 2009 - April 18, 2009. MIT Press, Cambridge, MA, USA (2009)

Klotzbücher, K.; Kobayashi, Y.; Shervashidze, N.; Stegle, O.; Müller-Myhsok, B.; Weigel, D.; Borgwardt, K.: Efficient branch-and-bound techniques for two-locus association mapping. In BMC Bioinformatics, 12 (Supplement 11), A3. Seventh International Society for Computational Biology (ISCB) Student Council Symposium 2011, Wien, Austria, July 15, 2011. BioMed Central (2011)

Stegle, O.: Association mapping of complex phenotypes using models at a systems level. Workshop Statistical and Dynamical Models in Biology and Medicine, Heidelberg, Germany (2010)

Borgwardt, K.; Stegle, O.: An Introduction to Graph Mining. Computational Approaches for Analyzing Complex Biological Systems 2010, Tübingen, Germany (2010)

Borgwardt, K.; Stegle, O.: An Introduction to Graph Mining. Computational Approaches for Analyzing Complex Biological Systems 2010, Tübingen, Germany (2010)

Stegle, O.; Borgwardt, K.: An introduction to Gaussian processes. Computational Approaches for Analyzing Complex Biological Systems 2010, Tübingen, Germany (2010)

Stegle, O.; Borgwardt, K.: An Introduction to Probabilistic modeling. Computational Approaches for Analyzing Complex Biological Systems 2010, Tübingen, Germany (2010)

Stegle, O.; Borgwardt, K.: Linear models. Computational Approaches for Analyzing Complex Biological Systems 2010, Tübingen, Germany (2010)

Stegle, O.; Borgwardt, K.: GP Applications. Computational Approaches for Analyzing Complex Biological Systems 2010, Tübingen, Germany (2010)

Stegle, O.: Association mapping and prediction of complex structured phenotypes. University of Cambridge: Department of Physics, Cambridge, UK (2009)

Beierholm, U.; Rohe, T.; Stegle, O.; Noppeney, U.: Using the past to estimate sensory uncertainty. Computational and Systems Neuroscience Meeting (COSYNE 2016), Salt Lake City, UT, USA (2016)