| Machine learning approaches in microbiome research: challenges and best practices G Papoutsoglou, S Tarazona, MB Lopes, T Klammsteiner, E Ibrahimi, ... Frontiers in Microbiology 14, 1261889, 2023 | 44 | 2023 |
| Assessment of real-time bioaerosol particle counters using reference chamber experiments G Lieberherr, K Auderset, B Calpini, B Clot, B Crouzy, M Gysel-Beer, ... Atmospheric Measurement Techniques 14 (12), 7693-7706, 2021 | 32 | 2021 |
| Overview of data preprocessing for machine learning applications in human microbiome research E Ibrahimi, MB Lopes, X Dhamo, A Simeon, R Shigdel, K Hron, B Stres, ... Frontiers in Microbiology 14, 1250909, 2023 | 14 | 2023 |
| Advancing microbiome research with machine learning: key findings from the ML4Microbiome COST action D D’Elia, J Truu, L Lahti, M Berland, G Papoutsoglou, M Ceci, A Zomer, ... Frontiers in Microbiology 14, 1257002, 2023 | 14 | 2023 |
| A toolbox of machine learning software to support microbiome analysis LJ Marcos-Zambrano, VM López-Molina, B Bakir-Gungor, M Frohme, ... Frontiers in microbiology 14, 1250806, 2023 | 13 | 2023 |
| Machine learning based metagenomic prediction of inflammatory bowel disease A Mihajlović, K Mladenović, T Lončar-Turukalo, S Brdar PHealth 2021: Proceedings of the 18th International Conference on Wearable …, 2021 | 12 | 2021 |
| Food and lifestyle impact on breath VOCs using portable mass spectrometer—pilot study across European countries M Aleksić, A Simeon, D Vujić, S Giannoukos, B Brkić Journal of Breath Research 17 (4), 046004, 2023 | 7 | 2023 |
| Membrane inlet mass spectrometry method for food intake impact assessment on specific volatile organic compounds in exhaled breath M Jakšić, A Mihajlović, D Vujić, S Giannoukos, B Brkić Analytical and Bioanalytical Chemistry 414 (20), 6077-6091, 2022 | 5 | 2022 |
| A toolbox of machine learning software to support microbiome LJ Marcos-Zambrano¹, VM López-Molina¹, X Dhamot, A Simeon, ... Microbiome and Machine Learning, Volume II, 2024 | | 2024 |
| Multi-class boosting for the analysis of multiple incomplete views on microbiome data A Simeon, M Radovanović, T Lončar-Turukalo, M Ceci, S Brdar, G Pio BMC bioinformatics 25 (1), 188, 2024 | | 2024 |
| Inflammatory bowel disease prediction based on metagenomics data A Mihajlović, K Mladenović, T Lončar-Turukalo, S Brdar Biologia Serbica; Belgrade Bioinformatics 2021 conference – BelBI2021 43 (1 …, 2021 | | 2021 |