Frank Dondelinger
Frank Dondelinger
Lecturer in Biostatistics
Verified email at - Homepage
TitleCited byYear
Wisdom of crowds for robust gene network inference
D Marbach, JC Costello, R Küffner, NM Vega, RJ Prill, DM Camacho, ...
Nature Methods, 2012
A pan-cancer proteomic perspective on The Cancer Genome Atlas
R Akbani, PKS Ng, HMJ Werner, M Shahmoradgoli, F Zhang, Z Ju, W Liu, ...
Nature Communications 5, 3887, 2014
Non-homogeneous dynamic Bayesian networks with Bayesian regularization for inferring gene regulatory networks with gradually time-varying structure
F Dondelinger, S Lèbre, D Husmeier
Machine Learning, 1-40, 2012
ODE parameter inference using adaptive gradient matching with Gaussian processes
F Dondelinger, M Filippone, S Rogers, D Husmeier
Proceedings of the Sixteenth international conference on Artificial …, 2013
Causal network inference using biochemical kinetics
CJ Oates, F Dondelinger, N Bayani, J Korkola, JW Gray, S Mukherjee
Bioinformatics 30 (17), i468-i474, 2014
Inferring species interaction networks from species abundance data: A comparative evaluation of various statistical and machine learning methods
A Faisal, F Dondelinger, D Husmeier, CM Beale
Ecological Informatics 5 (6), 451-464, 2010
Heterogeneous continuous dynamic bayesian networks with flexible structure and inter-time segment information sharing
F Dondelinger, S Lebre, D Husmeier
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010
Inter-time segment information sharing for non-homogeneous dynamic Bayesian networks
D Husmeier, F Dondelinger, S Lebre
Advances in Neural Information Processing Systems, 901-909, 2010
Dynamic Bayesian networks in molecular plant science: inferring gene regulatory networks from multiple gene expression time series
F Dondelinger, D Husmeier, S Lèbre
Euphytica 183 (3), 361-377, 2012
Cell cycle synchronisation of Trypanosoma brucei by centrifugal counter-flow elutriation reveals the timing of nuclear and kinetoplast DNA replication
C Benz, F Dondelinger, PG McKean, MD Urbaniak
Scientific reports 7 (1), 17599, 2017
Molecular heterogeneity at the network level: high-dimensional testing, clustering and a TCGA case study
N Städler, F Dondelinger, SM Hill, R Akbani, Y Lu, GB Mills, S Mukherjee
Bioinformatics 33 (18), 2890-2896, 2017
The joint lasso: high-dimensional regression for group structured data
F Dondelinger, S Mukherjee
Biostatistics, 2018
Reverse Engineering Gene Regulatory Networks Related to Quorum Sensing in the Plant Pathogen Pectobacterium Atrosepticum
K Lin, D Husmeier, F Dondelinger, CD Mayer, H Liu, L Prichard, ...
Computational Biology, 253-281, 2010
Nonhomogeneous dynamic Bayesian networks in systems biology.
S Lebre, F Dondelinger, D Husmeier
Methods in molecular biology (Clifton, NJ) 802, 199, 2012
Looking beyond the hype: Applied AI and machine learning in translational medicine
TS Toh, F Dondelinger, D Wang
EBioMedicine, 2019
Parameter inference in mechanistic models of cellular regulation and signalling pathways using gradient matching
F Dondelinger, S Rogers, M Filippone, R Cretella, T Palmer, R Smith, ...
WCSB 2012, 2012
Model-based clustering in very high dimensions via adaptive projections
B Taschler, F Dondelinger, S Mukherjee
arXiv preprint arXiv:1902.08472, 2019
Statistical Network Inference for Time-Varying Molecular Data with Dynamic Bayesian Networks
F Dondelinger, S Mukherjee
Gene Regulatory Networks, 25-48, 2019
Inference in complex biological systems with Gaussian processes and parallel tempering
B Macdonald, F Dondelinger, D Husmeier
Proceedings of the 28th International Workshop on Statistical Modelling, 673-676, 2013
A Machine Learning Approach to Reconstructing Signalling Pathways and Interaction Networks in Biology
F Dondelinger
University of Edinburgh, 2013
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