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2020 – today
- 2023
[j8]Konstantinos Perrakis, Thomas Lartigue
, Frank Dondelinger, Sach Mukherjee:
Regularized Joint Mixture Models. J. Mach. Learn. Res. 24: 19:1-19:47 (2023)- [j7]Oliver Y. Chén, Florian Lipsmeier, Huy Phan, Frank Dondelinger, Andrew P. Creagh, Christian Gossens, Michael Lindemann, Maarten De Vos:
Personalized Longitudinal Assessment of Multiple Sclerosis Using Smartphones. IEEE J. Biomed. Health Informatics 27(7): 3633-3644 (2023) - [i2]Arthur Leroy, Ai Ling Teh, Frank Dondelinger, Mauricio A. Álvarez, Dennis Wang:
Longitudinal prediction of DNA methylation to forecast epigenetic outcomes. CoRR abs/2312.13302 (2023) - 2021
- [j6]Evanthia Koukouli, Dennis Wang, Frank Dondelinger, Juhyun Park:
A regularized functional regression model enabling transcriptome-wide dosage-dependent association study of cancer drug response. PLoS Comput. Biol. 17(1) (2021) - [c4]Guy Bogaarts, Mattia Zanon, Frank Dondelinger, Adrian Derungs, Florian Lipsmeier, Christian Gossens, Michael Lindemann:
Simulating the impact of noise on gait features extracted from smartphone sensor-data for the remote assessment of movement disorders. EMBC 2021: 6905-6910 - 2020
- [j5]Iñigo Ayestaran, Ana Galhoz, Elmar Spiegel, Ben Sidders, Jonathan R. Dry, Frank Dondelinger, Andreas Bender, Ultan McDermott, Francesco Iorio, Michael P. Menden:
Identification of Intrinsic Drug Resistance and Its Biomarkers in High-Throughput Pharmacogenomic and CRISPR Screens. Patterns 1(5): 100065 (2020)
2010 – 2019
- 2019
- [i1]Bernd Taschler, Frank Dondelinger, Sach Mukherjee:
Model-based clustering in very high dimensions via adaptive projections. CoRR abs/1902.08472 (2019) - 2017
- [j4]Nicolas Städler, Frank Dondelinger, Steven M. Hill, Rehan Akbani, Yiling Lu, Gordon B. Mills, Sach Mukherjee:
Molecular heterogeneity at the network level: high-dimensional testing, clustering and a TCGA case study. Bioinform. 33(18): 2890-2896 (2017) - 2014
- [j3]Chris J. Oates, Frank Dondelinger, Nora Bayani, James Korkola, Joe W. Gray, Sach Mukherjee:
Causal network inference using biochemical kinetics. Bioinform. 30(17): 468-474 (2014) - 2013
- [b1]Frank Dondelinger:
Machine learning approach to reconstructing signalling pathways and interaction networks in biology. University of Edinburgh, UK, 2013 - [j2]Frank Dondelinger, Sophie Lèbre, Dirk Husmeier:
Non-homogeneous dynamic Bayesian networks with Bayesian regularization for inferring gene regulatory networks with gradually time-varying structure. Mach. Learn. 90(2): 191-230 (2013) - [c3]Frank Dondelinger, Dirk Husmeier, Simon Rogers, Maurizio Filippone:
ODE parameter inference using adaptive gradient matching with Gaussian processes. AISTATS 2013: 216-228 - 2010
- [j1]Ali Faisal, Frank Dondelinger, Dirk Husmeier, Colin M. Beale:
Inferring species interaction networks from species abundance data: A comparative evaluation of various statistical and machine learning methods. Ecol. Informatics 5(6): 451-464 (2010) - [c2]Frank Dondelinger, Sophie Lèbre, Dirk Husmeier:
Heterogeneous Continuous Dynamic Bayesian Networks with Flexible Structure and Inter-Time Segment Information Sharing. ICML 2010: 303-310 - [c1]Dirk Husmeier, Frank Dondelinger, Sophie Lèbre:
Inter-time segment information sharing for non-homogeneous dynamic Bayesian networks. NIPS 2010: 901-909
Coauthor Index
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