| 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 | 3998* | 2020 |
| Wisdom of crowds for robust gene network inference D Marbach, JC Costello, R Küffner, NM Vega, RJ Prill, DM Camacho, ... Nature Methods, 2012 | 1922 | 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 | 593 | 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 | 158 | 2013 |
| Looking beyond the hype: applied AI and machine learning in translational medicine TS Toh, F Dondelinger, D Wang EBioMedicine 47, 607-615, 2019 | 143 | 2019 |
| 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 | 122 | 2012 |
| Same data, different conclusions: Radical dispersion in empirical results when independent analysts operationalize and test the same hypothesis M Schweinsberg, M Feldman, N Staub, OR van den Akker, RCM van Aert, ... Organizational behavior and human decision processes 165, 228-249, 2021 | 121 | 2021 |
| 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 | 72 | 2010 |
| Causal network inference using biochemical kinetics CJ Oates, F Dondelinger, N Bayani, J Korkola, JW Gray, S Mukherjee Bioinformatics 30 (17), i468-i474, 2014 | 65 | 2014 |
| The joint lasso: high-dimensional regression for group structured data F Dondelinger, S Mukherjee, TADN Initiative Biostatistics 21 (2), 219-235, 2018 | 58* | 2018 |
| Circadian regulation of protein cargo in extracellular vesicles CYC Yeung, F Dondelinger, EM Schoof, B Georg, Y Lu, Z Zheng, J Zhang, ... Science advances 8 (14), eabc9061, 2022 | 44 | 2022 |
| 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 | 37 | 2010 |
| 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 | 34 | 2017 |
| 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 | 31 | 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 | 28 | 2020 |
| 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, 361-377, 2012 | 27 | 2012 |
| 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 | 22 | 2017 |
| Longitudinal trend monitoring of multiple sclerosis ambulation using smartphones AP Creagh, F Dondelinger, F Lipsmeier, M Lindemann, M De Vos IEEE open journal of engineering in medicine and biology 3, 202-210, 2022 | 14 | 2022 |
| Identification of intrinsic drug resistance and its biomarkers in high-throughput pharmacogenomic and CRISPR screens I Ayestaran, A Galhoz, E Spiegel, B Sidders, JR Dry, F Dondelinger, ... Patterns 1 (5), 2020 | 13 | 2020 |
| The role of chronotype and reward processing in understanding social hierarchies in adolescence J Lunn, T Wilcockson, T Donovan, F Dondelinger, G Perez Algorta, ... Brain and behavior 11 (5), e02090, 2021 | 10 | 2021 |
Sophie LèbreIMAG UMR 5149, Université Paul Valéry Montpellier 3, COSTNET CA15109Верификована је имејл адреса на univ-montp3.fr
