Publications of C Lippert

Fusi, N.; Lippert, C.; Borgwardt, K.; Lawrence, N.; Stegle, O.: Detecting regulatory gene-environment interactions with unmeasured environmental factors. Bioinformatics 29 (11), pp. 1382 - 1389 (2013)

Rakitsch, B.; Lippert, C.; Stegle, O.; Borgwardt, K.: LMM-Lasso: A Lasso Multi-Marker Mixed Model for Association Mapping with Population Structure Correction. Bioinformatics 29 (2), pp. 206 - 214 (2013)

Cao, J.; Schneeberger, K.; Ossowski, S.; Günther, T.; Bender, S.; Fitz, J.; König, D.; Lanz, C.; Stegle, O.; Lippert, C. et al.; Wang, X.; Ott, F.; Müller, J.; Alonso-Blanco, C.; Borgwardt, K.; Schmid, K.; Weigel, D.: Whole-genome sequencing of multiple Arabidopsis thaliana populations. Nature Genetics 43 (10), pp. 956 - 963 (2011)

Lippert, C.; Ghahramani, Z.; Borgwardt, K.: Gene function prediction from synthetic lethality networks via ranking on demand. Bioinformatics 26 (7), pp. 912 - 918 (2010)

Rakitsch, B.; Lippert, C.; Borgwardt, K.; Stegle, O.: It is all in the noise: Efficient multi-task Gaussian process inference with structured residuals. In: Advances in Neural Information Processing Systems 26, Vol. 2, pp. 1468 - 1476 (Eds. Burges, C.; Bottou, L.; Welling, M.; Ghahramani, Z.; Weinberger, K.). 27th Annual Conference on Neural Information Processing Systems (NIPS 2013), Lake Tahoe, NV, USA, December 05, 2013 - December 10, 2013. Curran, Red Hook, NY, USA (2014)

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, pp. 630 - 638 (Eds. Shawe-Taylor, J.; Zemel, R.; Bartlett, P.; Pereira, F.; Weinberger, K.). Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS 2011), Granada, Spain, December 12, 2011 - December 17, 2011. Curran, Red Hook, NY, USA (2012)

Lippert, C.; Shervashidze, N.; Stegle, O.: Relational models for generating labeled real-world graphs. In: 7th International Workshop on Mining and Learning with Graphs (MLG 2009). 7th International Workshop on Mining and Learning with Graphs (MLG 2009), Leuven, Belgium, July 02, 2009 - July 04, 2009. (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)

Casale, F.; Rakitsch, B.; Lippert, C.; Stegle, O.: A mixed-model approach for association studies of multiple variants to a set of correlated traits. In MLSB13: Seventh Workshop on Machine Learning in Systems Biology, p. 33. Seventh Workshop on Machine Learning in Systems Biology (MLSB 2013) at the 21st Annual International Conference on Intelligent Systems in Molecular Biology (ISMB), Berlin, Germany, July 19, 2013 - July 20, 2013. (2013)

Grimm, D.; Greshake, B.; Stegle, O.; Lippert, C.; Schölkopf, B.; Weigel, D.; Borgwardt, K.: easyGWAS: A central resource for efficient performance of genome-wide association studies. (2012)

Lippert, C.; Stegle, O.; Nickisch, H.; Borgwardt, K.; Weigel, D.: Experimental design for genome-wide association studies. 18th Annual International Conference on Intelligent Systems for Molecular Biology (ISMB 2010), Boston, MA, USA (2010)

Lippert, C.: Linear mixed models for genome-wide association studies. Dissertation, 191 pp., Eberhard-Karls-Universität, Tübingen, Germany (2013)

Lippert, C.; Casale, F.; Rakitsch, B.; Stegle, O.: LIMIX: genetic analysis of multiple traits. (submitted)