Christian Widmer
Christian Widmer
Bestätigte E-Mail-Adresse bei
Zitiert von
Zitiert von
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
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
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
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 21, 2008
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), 350-353, 2017
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), 1328-1339, 2013
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, 1-16, 2008
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
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 (1), 6874, 2014
Inferring latent task structure for multitask learning by multiple kernel learning
C Widmer, NC Toussaint, Y Altun, G Rätsch
BMC bioinformatics 11, 1-8, 2010
Multitask Learning in Computational Biology
C Widmer, G Rätsch
JMLR W&CP. ICML 2011 Unsupervised and Transfer Learning Workshop. 27, 207-216, 2012
Leveraging sequence classification by taxonomy-based multitask learning
C Widmer, J Leiva, Y Altun, G Rätsch
Research in Computational Molecular Biology: 14th Annual International …, 2010
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
Hierarchical Multitask Structured Output Learning for Large-Scale Sequence Segmentation
N Görnitz, C Widmer, G Zeller, A Kahles, S Sonnenburg, G Rätsch
Exploiting physico-chemical properties in string kernels
NC Toussaint, C Widmer, O Kohlbacher, G Rätsch
BMC bioinformatics 11, 1-9, 2010
Efficient Training of Graph-Regularized Multitask SVMs
C Widmer, M Kloft, N Görnitz, G Rätsch
ECML 2012, 2012
Tapkee: An efficient dimension reduction library
S Lisitsyn, C Widmer, FJI Garcia
The Journal of Machine Learning Research 14 (1), 2355-2359, 2013
Novel machine learning methods for MHC class I binding prediction
C Widmer, NC Toussaint, Y Altun, O Kohlbacher, G Rätsch
Pattern Recognition in Bioinformatics: 5th IAPR International Conference …, 2010
Regularization-based multitask learning with applications to genome biology and biological imaging
C Widmer, M Kloft, X Lou, G Rätsch
KI-Künstliche Intelligenz 28, 29-33, 2014
Domain adaptation in sequence analysis
C Widmer
Diplom thesis at University Tübingen, Germany, 2008
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