Следене
Barbara Rakitsch
Barbara Rakitsch
Bosch Center for AI
Потвърден имейл адрес: de.bosch.com - Начална страница
Заглавие
Позовавания
Позовавания
Година
A Lasso multi-marker mixed model for association mapping with population structure correction
B Rakitsch, C Lippert, O Stegle, K Borgwardt
Bioinformatics 29 (2), 206-214, 2013
1182013
LIMIX: genetic analysis of multiple traits
C Lippert, FP Casale, B Rakitsch, O Stegle
BioRxiv, 003905, 2014
1042014
Efficient set tests for the genetic analysis of correlated traits
FP Casale, B Rakitsch, C Lippert, O Stegle
Nature methods 12 (8), 755-758, 2015
982015
It is all in the noise: Efficient multi-task Gaussian process inference with structured residuals
B Rakitsch, C Lippert, K Borgwardt, O Stegle
Advances in neural information processing systems 26, 2013
712013
Genetic architecture of nonadditive inheritance in Arabidopsis thaliana hybrids
DK Seymour, E Chae, DG Grimm, C Martin Pizarro, A Habring-Müller, ...
Proceedings of the National Academy of Sciences 113 (46), E7317-E7326, 2016
462016
ccSVM: correcting Support Vector Machines for confounding factors in biological data classification
L Li, B Rakitsch, K Borgwardt
Bioinformatics 27 (13), i342-i348, 2011
402011
Translating immunopeptidomics to immunotherapy‐decision‐making for patient and personalized target selection
J Fritsche, B Rakitsch, F Hoffgaard, M Römer, H Schuster, DJ Kowalewski, ...
Proteomics 18 (12), 1700284, 2018
282018
Genomic profiles of diversification and genotype–phenotype association in island nematode lineages
A McGaughran, C Rödelsperger, DG Grimm, JM Meyer, E Moreno, ...
Molecular biology and evolution 33 (9), 2257-2272, 2016
282016
Modelling local gene networks increases power to detect trans-acting genetic effects on gene expression
B Rakitsch, O Stegle
Genome biology 17 (1), 1-13, 2016
262016
Learning gaussian processes by minimizing pac-bayesian generalization bounds
D Reeb, A Doerr, S Gerwinn, B Rakitsch
Advances in Neural Information Processing Systems 31, 2018
252018
Joint genetic analysis using variant sets reveals polygenic gene-context interactions
FP Casale, D Horta, B Rakitsch, O Stegle
PLoS genetics 13 (4), e1006693, 2017
172017
Learning partially known stochastic dynamics with empirical PAC Bayes
M Haußmann, S Gerwinn, A Look, B Rakitsch, M Kandemir
International Conference on Artificial Intelligence and Statistics, 478-486, 2021
82021
LIMIX: genetic analysis of multiple traits. bioRxiv. 2014
C Lippert, FP Casale, B Rakitsch, O Stegle
doi 10 (003905), 003905, 0
7
LIMIX: genetic analysis of multiple traits. bioRxiv, 003905
C Lippert, FP Casale, B Rakitsch, O Stegle
52014
Beyond the mean-field: Structured deep Gaussian processes improve the predictive uncertainties
J Lindinger, D Reeb, C Lippert, B Rakitsch
Advances in Neural Information Processing Systems 33, 8498-8509, 2020
42020
Bootstrat: population informed bootstrapping for rare variant tests
H Huang, GM Peloso, D Howrigan, B Rakitsch, CJ Simon-Gabriel, ...
bioRxiv, 068999, 2016
32016
Supplemental Information Multivariate analysis of heritable traits
C Lippert, FP Casale, B Rakitsch, O Stegle
bioRxiv, 2014
32014
A mixed model approach for joint genetic analysis of alternatively spliced transcript isoforms using RNA-Seq data
B Rakitsch, C Lippert, H Topa, K Borgwardt, A Honkela, O Stegle
arXiv preprint arXiv:1210.2850, 2012
22012
Traversing Time with Multi-Resolution Gaussian Process State-Space Models
K Longi, J Lindinger, O Duennbier, M Kandemir, A Klami, B Rakitsch
Learning for Dynamics and Control Conference, 366-377, 2022
12022
Safe Active Learning for Multi-Output Gaussian Processes
CY Li, B Rakitsch, C Zimmer
International Conference on Artificial Intelligence and Statistics, 4512-4551, 2022
12022
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