Search results

Journal Article (14)

  1. 1.
    Cubillos, F.A.; Stegle, O.; Grondin, C.; Canut, M.; Tisné, G.; Loudet, O.: Extensive cis-regulatory variation robust to environmental perturbation in Arabidopsis. Plant Cell 26 (11), pp. 4298 - 4310 (2014)
  2. 2.
    Fusi, N.; Lippert, C.; Borgwardt, K. M.; Lawrence, N.; Stegle, O.: Detecting regulatory gene-environment interactions with unmeasured environmental factors. Bioinformatics 29 (11), pp. 1382 - 1389 (2013)
  3. 3.
    Drewe, P.; Stegle, O.; Hartmann, L.; Kahles, A.; Bohnert, R.; Wachter, A.; Borgwardt, K. M.; Rätsch, G.: Accurate detection of differential RNA processing. Nucleic Acids Research (London) 41 (10), pp. 5189 - 5198 (2013)
  4. 4.
    Rakitsch, B.; Lippert, C.; Stegle, O.; Borgwardt, K. M.: LMM-Lasso: A Lasso Multi-Marker Mixed Model for Association Mapping with Population Structure Correction. Bioinformatics 29 (2), pp. 206 - 214 (2013)
  5. 5.
    Ryberg, M.; Sandberg, S.; Mellberg, C.; Stegle, O.; Lindahl, B.; Larsson, C.; Hauksson, J.; Olsson, T.: A Palaeolithic-type diet causes strong tissue-specific effects on ectopic fat deposition in obese postmenopausal women. Journal of Internal Medicine 274 (1), pp. 67 - 76 (2013)
  6. 6.
    Stegle, O.; Parts , L.; Pilpari, 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), pp. 500 - 507 (2012)
  7. 7.
    Fusi, N.; Stegle, O.; Lawrence, N.D.: Joint Modelling of Confounding Factors and Prominent Genetic Regulators Provides Increased Accuracy in Genetical Genomics Studies. PLoS Computational Biology 8 (1), e1002330 (2012)
  8. 8.
    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), pp. 1 - 9 (2012)
  9. 9.
    Karaletsos, T.; Stegle, O.; Dreyer, C.; Winn, J.; Borgwardt, K.: ShapePheno: unsupervised extraction of shape phenotypes from biological image collections. Bioinformatics 28 (7), pp. 1001 - 1008 (2012)
  10. 10.
    Stranger, B. E.; Montgomery, S. B.; Dimas, A. S.; Parts, L.; Stegle, O.; Ingle, C. E.; Sekowska, M.; Smith, G. D.; Evans, D.; Gutierrez-Arcelus, M. et al.; Price, A.; Towfique, R.; Nisbett, J.; Nica, A. C.; Beazley, C.; Durbin, R.; Deloukas, P.; Dermitzakis, E. T.: Patterns of cis regulatory variation in diverse human populations. PLoS Genetics 8 (4), e1002639 (2012)
  11. 11.
    Windram, O.; Madhou, P.; McHattie, S.; Hill, C.; Hickman, V.; Cooke, E.; Jenkins, D.; Penfold, C.; Baxter, L.; Breeze, E. et al.; Kiddle, S.; Rhodes, J.; Atwell, S.; Kliebenstein, D.; Kim, Y.-S.; Stegle, O.; Borgwardt, K.; Zhang, C.; Tabrett, A.; Legaie, R.; Moore, J.; Finkenstadt, B.; Wild, D.; Mead, A.; Rand, D.; Beynon, J.; Ott, S.; Buchanan-Wollaston, V.; Denby, K.: Arabidopsis defense against Botrytis cinerea: chronology and regulation deciphered by high-resolution temporal transcriptomic analysis. The Plant Cell Online (2012)
  12. 12.
    Becker, C.; Hagmann, J.; Müller, J.; Koenig, D.; Stegle, O.; Borgwardt, K.; Weigel, D.: Spontaneous epigenetic variation in the Arabidopsis thaliana methylome. Nature 480 (7376), pp. 245 - 249 (2011)
  13. 13.
    Cao, J.; Schneeberger, K.; Ossowski, S.; Günther, T.; Bender, S.; Fitz, J.; Koenig, D.; Lanz, C.; Stegle, O.; Lippert, C. et al.; Wang, X.; Ott, F.; Müller, J.; Alonso-Blanco, C.; Borgwardt, K.; Schmid, K. J.; Weigel, D.: Whole-genome sequencing of multiple Arabidopsis thaliana populations. Nature Genetics 43 (10), pp. 956 - 963 (2011)
  14. 14.
    Gan, X. C.; Stegle, O.; Behr, J.; Steffen, J. G.; Drewe, P.; Hildebrand, K. L.; Lyngsoe, R.; Schultheiss, S. J.; Osborne, E. J.; Sreedharan, V. T. et al.; Kahles, A.; Bohnert, R.; Jean, G.; Derwent, P.; Kersey, P.; Belfield, E. J.; Harberd, N. P.; Kemen, E.; Toomajian, C.; Kover, P. X.; Clark, R. M.; Rätsch, G.; Mott, R.: Multiple reference genomes and transcriptomes for Arabidopsis thaliana. Nature 477 (7365), pp. 419 - 423 (2011)

Conference Paper (3)

  1. 15.
    Stegle, O.; Roth FP, F.; Morris, Q.; Listgarten, J.: Personalized medicine: from genotypes and molecular phenotypes towards computed therapy. In: Pacific Symposium on Biocomputing (PSB 2012), pp. 323 - 326 (Eds. Altman, R.; Dunker, A.; Hunter, L.; Murray, T.; Klein, T.). Pacific Symposium on Biocomputing (PSB 2012), Kohala Coast, HI, USA. World Scientific Publishing, Singapore (2012)
  2. 16.
    Janzing, D.; Sgouritsa, E.; Stegle, O.; Peters, J.; Schoelkopf, B.: Detecting low-complexity unobserved causes. In: 27th Conference on Uncertainty in Artificial Intelligence (UAI 2011), pp. 383 - 391. (2011)
  3. 17.
    Mooij, J. M.; Stegle, O.; Janzing, D.; Zhang, K.; Schölkopf, B.: Probabilistic latent variable models for distinguishing between cause and effect. In: 24th Annual Conference on Neural Information Processing Systems (NIPS 2010), pp. 1687 - 1695 (Ed. l). 24th Annual Conference on Neural Information Processing Systems (NIPS 2010), Vancouver, BC, Canada, December 06, 2010 - December 09, 2010. Curran, Red Hook, NY (2011)
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