Publikationen von O Stegle

Beierholm, U.; Rohe, T.; Ferrari, A.; Stegle, O.; Noppeney, U.: Using the past to estimate sensory uncertainty. eLife, S. 1 - 42 (2020)

Stegle, O.; Parts, L.; Piipari, M.; Winn, J.; Durbin, R.: Using probabilistic estimation of expression residuals (PEER) to obtain increased power and interpretability of gene expression analyses. Nature Protocols 7 (3), S. 500 - 507 (2012)

Fusi, N.; Stegle, O.; Lawrence, N.: Joint Modelling of Confounding Factors and Prominent Genetic Regulators Provides Increased Accuracy in Genetical Genomics Studies. PLoS Computational Biology 8 (1), S. 1 - 9 (2012)

Parts, L.; Stegle, O.; Winn, J.; Durbin, R.: Joint Genetic Analysis of Gene Expression Data with Inferred Cellular Phenotypes. PLoS Genetics 7 (1), S. 1 - 10 (2011)

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), S. 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, S. 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), S. 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, S. 1 - 6 (2010)

Stegle, O.; Lippert, C.; Mooij, J.; Lawrence, N.; Borgwardt, K.: Efficient inference in matrix-variate Gaussian models with iid observation noise. In: Advances in Neural Information Processing Systems 24, S. 630 - 638 (Hg. Shawe-Taylor, J.; Zemel, R.; Bartlett, P.; Pereira, F.; Weinberger, K.). Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS 2011), Granada, Spain. Curran, Red Hook, NY, USA (2012)

Stegle, O.; Roth, F.; Morris, Q.; Listgarten, J.: Personalized medicine: from genotypes and molecular phenotypes towards computed therapy. In: Biocomputing 2012: Proceedings of the Pacific Symposium, S. 323 - 326 (Hg. Altman, R.; Dunker, A.; Hunter, L.; Murray, T.; Klein, T.). Pacific Symposium on Biocomputing (PSB 2012), Kohala Coast, HI, USA, 03. Januar 2012 - 07. Januar 2012. World Scientific Publishing, Singapore (2012)

Stegle, O.; Roth, F.; Morris, Q.; Listgarten, J.: Personalized medicine: from genotypes and molecular phenotypes towards computed therapy. In: Biocomputing 2012: Proceedings of the Pacific Symposium, S. 323 - 326 (Hg. Altman, R.; Dunker, A.; Hunter, L.; Murray, T.; Klein, T.). Pacific Symposium on Biocomputing (PSB 2012), Kohala Coast, HI, USA, 03. Januar 2012 - 07. Januar 2012. World Scientific Publishing, Singapore (2012)

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), S. 383 - 391 (Hg. Cozman, F.; Pfeffer, A.). 27th Conference on Uncertainty in Artificial Intelligence (UAI 2011), Barcelona, Spain, 14. Juli 2011 - 17. Juli 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, 06. Dezember 2010 - 11. Dezember 2010. Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010, S. 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, 13. September 2009 - 16. September 2009. Journal of Physics: Conference Series 197 (1), 012002, S. 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), S. 133 - 142 (Hg. Grosse, I.; Neumann, S.; Posch, S.; Schreiber, F.; Stadler, P.). German Conference on Bioinformatics 2009 (GCB 2009), Halle, Germany, 28. September 2009 - 30. September 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, S. 201 - 216 (Hg. Batzoglou, S.). 13th Annual International Conference on Research in Computational Molecular Biology (RECOMB 2009), Tucson, AZ, USA, 18. Mai 2009 - 21. Mai 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), S. 368 - 375 (Hg. Van Dyk, D.; Welling, M.). Twelfth International Conference on Artificial Intelligence and Statistics (AIStats 2009), Clearwater Beach, FL, USA, 16. April 2009 - 18. April 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, 15. Juli 2011. BioMed Central (2011)

Stegle, O.: Exploiting NGS technologies for efficient and accurate genotype to phenotype mapping in plant systems. XVth Meeting of the EUCARPIA Section: Biometrics in Plant Breeding, Stuttgart-Hohenheim, Germany (2012)

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)