| Utilizing graph machine learning within drug discovery and development T Gaudelet, B Day, AR Jamasb, J Soman, C Regep, G Liu, JBR Hayter, ... Briefings in bioinformatics 22 (6), bbab159, 2021 | 230 | 2021 |
| Higher-order molecular organization as a source of biological function T Gaudelet, N Malod-Dognin, N Pržulj Bioinformatics 34 (17), i944-i953, 2018 | 43 | 2018 |
| Unveiling new disease, pathway, and gene associations via multi-scale neural network T Gaudelet, N Malod-Dognin, J Sánchez-Valle, V Pancaldi, A Valencia, ... PloS one 15 (4), e0231059, 2020 | 30 | 2020 |
| Classification in biological networks with hypergraphlet kernels J Lugo-Martinez, D Zeiberg, T Gaudelet, N Malod-Dognin, Noël, Pržulj, ... Bioinformatics, 2020 | 23 | 2020 |
| Improvement of heat transfer by promoting dropwise condensation using electrospun polytetrafluoroethylene thin films H Tsuchiya, K Manabe, T Gaudelet, T Moriya, K Suwabe, ... New Journal of Chemistry 41 (3), 982-991, 2017 | 21 | 2017 |
| Analyzing Network Data in Biology and Medicine: An Interdisciplinary Textbook for Biological, Medical and Computational Scientists N Pržulj Cambridge University Press, 2019 | 13 | 2019 |
| Recover: sequential model optimization platform for combination drug repurposing identifies novel synergistic compounds in vitro P Bertin, J Rector-Brooks, D Sharma, T Gaudelet, A Anighoro, T Gross, ... arXiv preprint arXiv:2202.04202, 2022 | 8 | 2022 |
| Integrative data analytic framework to enhance cancer precision medicine T Gaudelet, N Malod-Dognin, N Pržulj Network and systems medicine 4 (1), 60-73, 2021 | 6 | 2021 |
| RECOVER identifies synergistic drug combinations in vitro through sequential model optimization P Bertin, J Rector-Brooks, D Sharma, T Gaudelet, A Anighoro, T Gross, ... Cell Reports Methods 3 (10), 2023 | 5 | 2023 |
| Utilising graph machine learning within drug discovery and development (2020) T Gaudelet, B Day, AR Jamasb, J Soman, C Regep, G Liu, JBR Hayter, ... arXiv preprint arXiv:2012.05716, 2012 | 5 | 2012 |
| Introduction to graph and network theory N Przulj, T Gaudelet Cambridge University Press, 2019 | 3 | 2019 |
| Hypergraphlets Give Insight into Multi-Scale Organisation of Molecular Networks T Gaudelet, NM Dognin, J Lugo-Martinez, P Radivojac, N Pzrulj BOOK OF ABSTRACTS, 41, 2017 | 1 | 2017 |
| PyRelationAL: a python library for active learning research and development P Scherer, T Gaudelet, A Pouplin, A Del Vecchio, O Bolton, J Soman, ... arXiv preprint arXiv:2205.11117, 2022 | | 2022 |
| PyRelationAL: A Library for Active Learning Research and Development. P Scherer, T Gaudelet, A Pouplin, MS Suraj, J Soman, L Edwards, ... CoRR, 2022 | | 2022 |
| Integration of multi-scale protein interactions for biomedical data analysis T Gaudelet UCL (University College London), 2021 | | 2021 |
| Electrospun polytetrafluoroethylene thin film with high heat transfer coefficient H Tsuchiya, K Manabe, KH Kyung, T Gaudelet, F Gillot, S Shiratori ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY 250, 2015 | | 2015 |
| Investigation of dropwise condensation on PTFE-based coated surfaces T Gaudelet, K Suwabe, KH Kyung, F Gillot, S Shiratori JSAP Annual Meetings Extended Abstracts The 61st JSAP Spring Meeting 2014 …, 2014 | | 2014 |
| Season combinatorial intervention predictions with Salt & Peper T Gaudelet, A Del Vecchio, EM Carrami, J Cudini, CA Kapourani, C Uhler, ... ICLR 2024 Workshop on Machine Learning for Genomics Explorations, 0 | | |
| Short-range Impact of Damage on Object Recognition in a Trained Neuronal Network T Gaudelet | | |
| Optimisation de forme de composants véhicules par la méthode" level-set T Gaudelet, E Scientifiques, FGG Vial, V Fridrici | | |
Cristian RegepData Scientist BiotechnologyBestätigte E-Mail-Adresse bei regep.org
