Frank Dondelinger
Frank Dondelinger
Lead Data Analyst, Roche
Verified email at - Homepage
Cited by
Cited by
Features of 20 133 UK patients in hospital with covid-19 using the ISARIC WHO Clinical Characterisation Protocol: prospective observational cohort study
AB Docherty, EM Harrison, CA Green, HE Hardwick, R Pius, L Norman, ...
bmj 369, 2020
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
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
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
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
Looking beyond the hype: Applied AI and machine learning in translational medicine
TS Toh, F Dondelinger, D Wang
EBioMedicine 47, 607-615, 2019
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
The joint lasso: high-dimensional regression for group structured data
F Dondelinger, S Mukherjee, TADN Initiative
Biostatistics 21 (2), 219-235, 2018
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), 1-10, 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
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
A statistical framework for assessing pharmacological response and biomarkers using uncertainty estimates
D Wang, J Hensman, G Kukaite, TS Toh, JR Dry, J Saez-Rodriguez, ...
eLife 9 (e60352), 2020
Nonhomogeneous dynamic Bayesian networks in systems biology.
S Lebre, F Dondelinger, D Husmeier
Methods in molecular biology (Clifton, NJ) 802, 199, 2012
Statistical Network Inference for Time-Varying Molecular Data with Dynamic Bayesian Networks
F Dondelinger, S Mukherjee
Gene Regulatory Networks, 25-48, 2019
Software Application Profile: Bayesian estimation of inverse variance weighted and MR-Egger models for two-sample Mendelian randomization studies—mrbayes
O Uche-Ikonne, F Dondelinger, T Palmer
International Journal of Epidemiology, 2020
Latent group structure and regularized regression
K Perrakis, T Lartigue, F Dondelinger, S Mukherjee
arXiv preprint arXiv:1908.07869, 2019
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