Frank Dondelinger

15 papers A* 1A 1Journal 10Unranked 2

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Longitudinal prediction of DNA methylation to forecast epigenetic outcomes. CoRR Arthur Leroy, Ai Ling Teh, Frank Dondelinger, Mauricio A. Álvarez, Dennis Wang
2023	J	`jnl`	Personalized Longitudinal Assessment of Multiple Sclerosis Using Smartphones. IEEE J. Biomed. Health Informatics Oliver Y. Chén, Florian Lipsmeier, Huy Phan, Frank Dondelinger, Andrew P. Creagh, Christian Gossens, Michael Lindemann, Maarten De Vos
2023	J	`jnl`	Regularized Joint Mixture Models. J. Mach. Learn. Res. Konstantinos Perrakis, Thomas Lartigue, Frank Dondelinger, Sach Mukherjee
2021	J	`jnl`	A regularized functional regression model enabling transcriptome-wide dosage-dependent association study of cancer drug response. PLoS Comput. Biol. Evanthia Koukouli, Dennis Wang, Frank Dondelinger, Juhyun Park
2021	—	`conf`	Simulating the impact of noise on gait features extracted from smartphone sensor-data for the remote assessment of movement disorders. EMBC Guy Bogaarts, Mattia Zanon, Frank Dondelinger, Adrian Derungs, Florian Lipsmeier, Christian Gossens, Michael Lindemann
2020	J	`jnl`	Identification of Intrinsic Drug Resistance and Its Biomarkers in High-Throughput Pharmacogenomic and CRISPR Screens. Patterns Iñigo Ayestaran, Ana Galhoz, Elmar Spiegel, Ben Sidders, Jonathan R. Dry, Frank Dondelinger, Andreas Bender, Ultan McDermott, Francesco Iorio, Michael P. Menden
2019	J	`jnl`	Model-based clustering in very high dimensions via adaptive projections. CoRR Bernd Taschler, Frank Dondelinger, Sach Mukherjee
2017	J	`jnl`	Molecular heterogeneity at the network level: high-dimensional testing, clustering and a TCGA case study. Bioinform. Nicolas Städler, Frank Dondelinger, Steven M. Hill, Rehan Akbani, Yiling Lu, Gordon B. Mills, Sach Mukherjee
2014	J	`jnl`	Causal network inference using biochemical kinetics. Bioinform. Chris J. Oates, Frank Dondelinger, Nora Bayani, James Korkola, Joe W. Gray, Sach Mukherjee
2013	—	`—`	Machine learning approach to reconstructing signalling pathways and interaction networks in biology. Frank Dondelinger
2013	J	`jnl`	Non-homogeneous dynamic Bayesian networks with Bayesian regularization for inferring gene regulatory networks with gradually time-varying structure. Mach. Learn. Frank Dondelinger, Sophie Lèbre, Dirk Husmeier
2013	A	`conf`	ODE parameter inference using adaptive gradient matching with Gaussian processes. AISTATS Frank Dondelinger, Dirk Husmeier, Simon Rogers, Maurizio Filippone
2010	A*	`conf`	Heterogeneous Continuous Dynamic Bayesian Networks with Flexible Structure and Inter-Time Segment Information Sharing. ICML Frank Dondelinger, Sophie Lèbre, Dirk Husmeier
2010	J	`jnl`	Inferring species interaction networks from species abundance data: A comparative evaluation of various statistical and machine learning methods. Ecol. Informatics Ali Faisal, Frank Dondelinger, Dirk Husmeier, Colin M. Beale
2010	—	`conf`	Inter-time segment information sharing for non-homogeneous dynamic Bayesian networks. NIPS Dirk Husmeier, Frank Dondelinger, Sophie Lèbre