An overview of machine learning methods for monotherapy drug response prediction F Firoozbakht, B Yousefi, B Schwikowski Briefings in bioinformatics 23 (1), bbab408, 2022 | 39 | 2022 |
Capturing the dynamics of microbial interactions through individual-specific networks B Yousefi, F Melograna, G Galazzo, N van Best, M Mommers, J Penders, ... Frontiers in microbiology 14, 1170391, 2023 | 7* | 2023 |
Bridging the gap in precision medicine: TranSYS training programme for next-generation scientists L Andreoli, C Berca, S Katz, M Korshevniuk, RM Head, K Van Steen, ... Frontiers in Medicine 11, 1348148, 2024 | 1 | 2024 |
Consensus clustering for robust bioinformatics analysis B Yousefi, B Schwikowski bioRxiv, 2024.03. 21.586064, 2024 | 1 | 2024 |
PLEX. I: a tool to discover features in multiplex networks that reflect clinical variation B Yousefi, F Firoozbakht, F Melograna, B Schwikowski, K Van Steen Frontiers in Genetics 14, 1274637, 2023 | 1 | 2023 |
PCA-based spatial domain identification with state-of-the-art performance DP Schaub, B Yousefi, N Kaiser, R Khatri, VG Puelles, CF Krebs, ... bioRxiv, 2024.07. 29.605550, 2024 | | 2024 |
Network-based machine learning methods to model variability across individuals B Yousefi Sorbonne université, 2023 | | 2023 |
Individual-specific Networks and Representation Learning to Capture Dynamics of Microbiome interactions B Yousefi, F Melograna, G Galazzo, N Van Best, M Mommers, J Penders, ... Genetic Epidemiology 46 (7), 517-517, 2022 | | 2022 |