Christian Widmer
TitleCited byYear
The SHOGUN machine learning toolbox
S Sonnenburg, G Rätsch, S Henschel, C Widmer, J Behr, A Zien, F Bona, ...
The Journal of Machine Learning Research 11, 1799-1802, 2010
3082010
Stress‐induced changes in the Arabidopsis thaliana transcriptome analyzed using whole‐genome tiling arrays
G Zeller, SR Henz, CK Widmer, T Sachsenberg, G Rätsch, D Weigel, ...
The Plant Journal 58 (6), 1068-1082, 2009
2952009
A spatial and temporal map of C. elegans gene expression
WC Spencer, G Zeller, JD Watson, SR Henz, KL Watkins, RD McWhirter, ...
Genome research 21 (2), 325-341, 2011
2102011
An empirical analysis of domain adaptation algorithms for genomic sequence analysis
G Schweikert, G Rätsch, C Widmer, B Schölkopf
Advances in Neural Information Processing Systems, 1433-1440, 2009
1342009
At-TAX: a whole genome tiling array resource for developmental expression analysis and transcript identification in Arabidopsis thaliana
S Laubinger, G Zeller, SR Henz, T Sachsenberg, CK Widmer, N Naouar, ...
Genome biology 9 (7), R112, 2008
1072008
Determinants of robustness in spindle assembly checkpoint signalling
S Heinrich, EM Geissen, J Kamenz, S Trautmann, C Widmer, P Drewe, ...
Nature cell biology 15 (11), 1328, 2013
892013
Inferring latent task structure for multitask learning by multiple kernel learning
C Widmer, NC Toussaint, Y Altun, G Rätsch
BMC bioinformatics 11 (8), S5, 2010
492010
Leveraging sequence classification by taxonomy-based multitask learning
C Widmer, J Leiva, Y Altun, G Rätsch
Annual International Conference on Research in Computational Molecular …, 2010
492010
Further improvements to linear mixed models for genome-wide association studies
C Widmer, C Lippert, O Weissbrod, N Fusi, C Kadie, R Davidson, ...
Scientific reports 4, 6874, 2014
452014
Linear mixed model for heritability estimation that explicitly addresses environmental variation
D Heckerman, D Gurdasani, C Kadie, C Pomilla, T Carstensen, H Martin, ...
Proceedings of the National Academy of Sciences 113 (27), 7377-7382, 2016
402016
Multitask Learning in Computational Biology
C Widmer, G Rätsch
JMLR W&CP. ICML 2011 Unsupervised and Transfer Learning Workshop. 27, 207-216, 2012
402012
Greater power and computational efficiency for kernel-based association testing of sets of genetic variants
C Lippert, J Xiang, D Horta, C Widmer, C Kadie, D Heckerman, ...
Bioinformatics 30 (22), 3206-3214, 2014
322014
Exploiting physico-chemical properties in string kernels
NC Toussaint, C Widmer, O Kohlbacher, G Rätsch
BMC bioinformatics 11 (8), S7, 2010
302010
Hierarchical Multitask Structured Output Learning for Large-Scale Sequence Segmentation
N Görnitz, C Widmer, G Zeller, A Kahles, S Sonnenburg, G Rätsch
262011
Prediction of potent shRNAs with a sequential classification algorithm
R Pelossof, L Fairchild, CH Huang, C Widmer, VT Sreedharan, N Sinha, ...
Nature biotechnology 35 (4), 350, 2017
252017
Efficient Training of Graph-Regularized Multitask SVMs
C Widmer, M Kloft, N Görnitz, G Rätsch
ECML 2012, 2012
162012
Novel machine learning methods for MHC class I binding prediction
C Widmer, NC Toussaint, Y Altun, O Kohlbacher, G Rätsch
IAPR International Conference on Pattern Recognition in Bioinformatics, 98-109, 2010
132010
Tapkee: An efficient dimension reduction library
S Lisitsyn, C Widmer, FJI Garcia
The Journal of Machine Learning Research 14 (1), 2355-2359, 2013
102013
Regularization-Based Multitask Learning With Applications to Genome Biology and Biological Imaging
C Widmer, M Kloft, X Lou, G Rätsch
KI-Künstliche Intelligenz 28 (1), 29-33, 2014
62014
Multi-task learning for computational biology: Overview and outlook
C Widmer, M Kloft, G Rätsch
Empirical Inference, 117-127, 2013
42013
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Articles 1–20