Investigating differential abundance methods in microbiome data: A benchmark study M Cappellato, G Baruzzo, B Di Camillo PLoS computational biology 18 (9), e1010467, 2022 | 36 | 2022 |
Gene selection for optimal prediction of cell position in tissues from single-cell transcriptomics data J Tanevski, T Nguyen, B Truong, N Karaiskos, ME Ahsen, X Zhang, C Shu, ... Life Science Alliance 3 (11), 2020 | 19 | 2020 |
Modeling microbial community networks: methods and tools M Cappellato, G Baruzzo, I Patuzzi, B Di Camillo Current Genomics 22 (4), 267, 2021 | 9 | 2021 |
Machine learning–based feature selection to search stable microbial biomarkers: application to inflammatory bowel disease Y Lee, M Cappellato, B Di Camillo GigaScience 12, giad083, 2023 | 5 | 2023 |
Discriminative power of DNA-based, volatilome, near infrared spectroscopy, elements and stable isotopes methods for the origin authentication of typical Italian mountain cheese … M Cardin, J Mounier, E Coton, B Cardazzo, M Perini, D Bertoldi, ... Food Research International 178, 113975, 2024 | 2 | 2024 |
Uncover a microbiota signature of upper respiratory tract in patients with SARS-CoV-2+ M Bellato, M Cappellato, F Longhin, C Del Vecchio, G Brancaccio, ... Scientific Reports 13 (1), 16867, 2023 | 2 | 2023 |
Results and lessons learned from the sbv IMPROVER metagenomics diagnostics for inflammatory bowel disease challenge L Khachatryan, Y Xiang, A Ivanov, E Glaab, G Graham, I Granata, ... Scientific Reports 13 (1), 6303, 2023 | 2 | 2023 |