| Absolute quantification of microbial taxon abundances R Props, FM Kerckhof, P Rubbens, J De Vrieze, E Hernandez Sanabria, ... The ISME journal 11 (2), 584-587, 2017 | 356 | 2017 |
| Machine learning in marine ecology: an overview of techniques and applications P Rubbens, S Brodie, T Cordier, D Destro Barcellos, P Devos, ... ICES Journal of Marine Science 80 (7), 1829-1853, 2023 | 62 | 2023 |
| Label-free Raman characterization of bacteria calls for standardized procedures C García-Timermans, P Rubbens, FM Kerckhof, B Buysschaert, ... Journal of microbiological methods 151, 69-75, 2018 | 52 | 2018 |
| Coculturing bacteria leads to reduced phenotypic heterogeneities J Heyse, B Buysschaert, R Props, P Rubbens, AG Skirtach, W Waegeman, ... Applied and Environmental Microbiology 85 (8), e02814-18, 2019 | 50 | 2019 |
| Flow cytometric single-cell identification of populations in synthetic bacterial communities P Rubbens, R Props, N Boon, W Waegeman PloS one 12 (1), e0169754, 2017 | 50 | 2017 |
| Fast pathogen identification using single-cell matrix-assisted laser desorption/ionization-aerosol time-of-flight mass spectrometry data and deep learning methods C Papagiannopoulou, R Parchen, P Rubbens, W Waegeman Analytical chemistry 92 (11), 7523-7531, 2020 | 41 | 2020 |
| Detection of microbial disturbances in a drinking water microbial community through continuous acquisition and advanced analysis of flow cytometry data R Props, P Rubbens, M Besmer, B Buysschaert, J Sigrist, H Weilenmann, ... Water research 145, 73-82, 2018 | 37 | 2018 |
| Cytometric fingerprints of gut microbiota predict Crohn’s disease state P Rubbens, R Props, FM Kerckhof, N Boon, W Waegeman The ISME Journal 15 (1), 354-358, 2021 | 34 | 2021 |
| Discriminating bacterial phenotypes at the population and single‐cell level: a comparison of flow cytometry and Raman spectroscopy fingerprinting C García‐Timermans, P Rubbens, J Heyse, FM Kerckhof, R Props, ... Cytometry Part A 97 (7), 713-726, 2020 | 30 | 2020 |
| Computational Analysis of Microbial Flow Cytometry Data P Rubbens, R Props mSystems 6 (1), 2021 | 28 | 2021 |
| PhenoGMM: Gaussian mixture modeling of cytometry data quantifies changes in microbial community structure P Rubbens, R Props, FM Kerckhof, N Boon, W Waegeman MSphere 6 (1), 10.1128/msphere. 00530-20, 2021 | 27 | 2021 |
| Cyt‐Geist: Current and future challenges in cytometry: Reports of the CYTO 2018 conference workshops K Czechowska, J Lannigan, L Wang, J Arcidiacono, TM Ashhurst, ... Cytometry Part A 95 (6), 598-644, 2019 | 22 | 2019 |
| Stripping flow cytometry: How many detectors do we need for bacterial identification? P Rubbens, R Props, C Garcia‐Timermans, N Boon, W Waegeman Cytometry Part A 91 (12), 1184-1191, 2017 | 22 | 2017 |
| Randomized lasso links microbial taxa with aquatic functional groups inferred from flow cytometry P Rubbens, ML Schmidt, R Props, BA Biddanda, N Boon, W Waegeman, ... MSystems 4 (5), 10.1128/msystems. 00093-19, 2019 | 17 | 2019 |
| Predicting the presence and abundance of bacterial taxa in environmental communities through flow cytometric fingerprinting J Heyse, F Schattenberg, P Rubbens, S Müller, W Waegeman, N Boon, ... Msystems 6 (5), 10.1128/msystems. 00551-21, 2021 | 12 | 2021 |
| From theory choice to theory search: the essential tension between exploration and exploitation in science R De Langhe, P Rubbens Kuhn’s Structure of Scientific Revolutions-50 Years On, 105-114, 2015 | 8 | 2015 |
| Learning single‐cell distances from cytometry data B Nguyen, P Rubbens, FM Kerckhof, N Boon, B De Baets, W Waegeman Cytometry Part A 95 (7), 782-791, 2019 | 7 | 2019 |
| Machine learning approaches for microbial flow cytometry at the single-cell and community level P Rubbens Ghent University, 2019 | 1 | 2019 |
| Real-Time Flow Cytometry to assess qualitative and quantitative responses of oral pathobionts during exposure to antiseptics I Chatzigiannidou, J Heyse, R Props, P Rubbens, W Teughels, ... bioRxiv, 2022.02. 28.482436, 2022 | | 2022 |
| Fingerprinting microbial communities through flow cytometry and Raman spectroscopy C García Timermans, P Rubbens, FM Kerckhof, R Props, W Waegeman, ... 15th Symposium on Bacterial Genetics and Ecology (BAGECO 15): Ecosystem …, 2019 | | 2019 |
Nico BoonCenter for Microbial Ecology and Technology (CMET), Ghent UniversityCorreu electrònic verificat a UGent.be