Frank Dondelinger

According to our database, Frank Dondelinger authored at least 15 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Personalized Longitudinal Assessment of Multiple Sclerosis Using Smartphones.

Oliver Y. Chén, Florian Lipsmeier, Huy Phan, Frank Dondelinger, Andrew P. Creagh, Christian Gossens, Michael Lindemann, Maarten De Vos

IEEE J. Biomed. Health Informatics, July, 2023

Regularized Joint Mixture Models.

Konstantinos Perrakis, Thomas Lartigue, Frank Dondelinger, Sach Mukherjee

J. Mach. Learn. Res., 2023

Longitudinal prediction of DNA methylation to forecast epigenetic outcomes.

Arthur Leroy, Ai Ling Teh, Frank Dondelinger, Mauricio A. Álvarez, Dennis Wang

CoRR, 2023

2021

A regularized functional regression model enabling transcriptome-wide dosage-dependent association study of cancer drug response.

Evanthia Koukouli, Dennis Wang, Frank Dondelinger, Juhyun Park

PLoS Comput. Biol., 2021

Simulating the impact of noise on gait features extracted from smartphone sensor-data for the remote assessment of movement disorders.

Guy Bogaarts, Mattia Zanon, Frank Dondelinger, Adrian Derungs, Florian Lipsmeier, Christian Gossens, Michael Lindemann

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

Identification of Intrinsic Drug Resistance and Its Biomarkers in High-Throughput Pharmacogenomic and CRISPR Screens.

Iñigo Ayestaran, Ana Galhoz, Elmar Spiegel, Ben Sidders, Jonathan R. Dry, Frank Dondelinger, Andreas Bender, Ultan McDermott, Francesco Iorio, Michael P. Menden

Patterns, 2020

2019

Model-based clustering in very high dimensions via adaptive projections.

Bernd Taschler, Frank Dondelinger, Sach Mukherjee

CoRR, 2019

2017

Molecular heterogeneity at the network level: high-dimensional testing, clustering and a TCGA case study.

Nicolas Städler, Frank Dondelinger, Steven M. Hill, Rehan Akbani, Yiling Lu, Gordon B. Mills, Sach Mukherjee

Bioinform., 2017

2014

Causal network inference using biochemical kinetics.

Chris J. Oates, Frank Dondelinger, Nora Bayani, James Korkola, Joe W. Gray, Sach Mukherjee

Bioinform., 2014

2013

Machine learning approach to reconstructing signalling pathways and interaction networks in biology.

Frank Dondelinger

PhD thesis, 2013

Non-homogeneous dynamic Bayesian networks with Bayesian regularization for inferring gene regulatory networks with gradually time-varying structure.

Frank Dondelinger, Sophie Lèbre, Dirk Husmeier

Mach. Learn., 2013

ODE parameter inference using adaptive gradient matching with Gaussian processes.

Frank Dondelinger, Dirk Husmeier, Simon Rogers, Maurizio Filippone

Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

2010

Inferring species interaction networks from species abundance data: A comparative evaluation of various statistical and machine learning methods.

Ali Faisal, Frank Dondelinger, Dirk Husmeier, Colin M. Beale

Ecol. Informatics, 2010

Inter-time segment information sharing for non-homogeneous dynamic Bayesian networks.

Dirk Husmeier, Frank Dondelinger, Sophie Lèbre

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Heterogeneous Continuous Dynamic Bayesian Networks with Flexible Structure and Inter-Time Segment Information Sharing.

Frank Dondelinger, Sophie Lèbre, Dirk Husmeier

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010