| Machine learning for RNA sequencing-based intrinsic subtyping of breast cancer S Cascianelli, I Molineris, C Isella, M Masseroli, E Medico Scientific reports 10 (1), 14071, 2020 | 51 | 2020 |
| Investigating deep learning based breast cancer subtyping using pan-cancer and multi-omic data F Cristovao, S Cascianelli, A Canakoglu, M Carman, L Nanni, P Pinoli, ... IEEE/ACM Transactions on Computational Biology and Bioinformatics 19 (1 …, 2020 | 17 | 2020 |
| RGMQL: scalable and interoperable computing of heterogeneous omics big data and metadata in R/Bioconductor S Pallotta, S Cascianelli, M Masseroli BMC bioinformatics 23 (1), 123, 2022 | 3 | 2022 |
| Computational Intelligence Methods for Bioinformatics and Biostatistics: 16th International Meeting, CIBB 2019, Bergamo, Italy, September 4–6, 2019, Revised Selected Papers P Cazzaniga, D Besozzi, I Merelli, L Manzoni Springer Nature, 2020 | 2 | 2020 |
| Supervised Relevance-Redundancy assessments for feature selection in omics-based classification scenarios S Cascianelli, A Galzerano, M Masseroli Journal of Biomedical Informatics 144, 104457, 2023 | 1 | 2023 |
| Multi-label transcriptional classification of colorectal cancer reflects tumor cell population heterogeneity S Cascianelli, C Barbera, AA Ulla, E Grassi, B Lupo, D Pasini, A Bertotti, ... Genome Medicine 15 (1), 37, 2023 | 1 | 2023 |
| Hybrid evolutionary framework for selection of genes predicting breast cancer relapse L Perino, S Cascianelli, M Masseroli 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 1 | 2020 |
| Identification of transcription factor high accumulation DNA zones S Cascianelli, G Ceddia, A Marchesi, M Masseroli BMC bioinformatics 24 (1), 395, 2023 | | 2023 |
| SO-34 Multi-label transcriptional classification of colorectal cancer reflects tumour cell population heterogeneity E Medico, S Cascianelli, C Barbera, B Lupo, D Pasini, A Bertotti, ... Annals of Oncology 34, S177, 2023 | | 2023 |
| Non-negative Matrix Tri-Factorization for data integration and knowledge inference on breast cancer subtyping CR Rengifo, S Cascianelli, G Ceddia, M Masseroli Proceedings of the 19th Conference on Computational Intelligence Methods for …, 2023 | | 2023 |
| Gene co-expression network analysis for identifying cell populations in RNA-seq patient-derived xenografts S Tome, S Cascianelli, M Enzo, I Claudio, M Masseroli BITS2023 Abstract Book, 2023 | | 2023 |
| Biologically-driven feature selection for improved functional interpretability of gene expression data analysis S Mongardi, S Cascianelli, M Masseroli Proceedings of the 18th International Conference on Computational …, 2023 | | 2023 |
| Adapting feature selection in gene expression-based classification for higher biological interpretability S Mongardi, S Cascianelli, M Masseroli BITS 2023: 19th Annual Meeting of the Bioinformatics Italian Society, 131-132, 2023 | | 2023 |
| Machine learning for multi-label subtyping: a key to dissecting intra-tumor heterogeneity at the bulk sample level S Cascianelli, M Masseroli BITS2023 Abstract Book, 2023 | | 2023 |
| Machine learning to discover genes predictive of RAS-mutated cases in mutational profiles of colorectal cancer patients. M Bellomo, S Cascianelli, E Medico, M Masseroli BITS 2022: 18th Annual Meeting of the Bioinformatics Italian Society, 48-49, 2022 | | 2022 |
| Gene expression-based multi-label classification to face colorectal cancer heterogeneity and provide biologically and clinically relevant traits C Barbera, S Cascianelli, A Ulla, E Grassi, B Lupo, D Pasini, A Bertotti, ... Alliance Against Cancer 7th Annual Meeting–New Technologies and Strategies …, 2022 | | 2022 |
| Statistical and machine learning methods to investigate mutations in RAS-mutated colorectal cancer patients M Bellomo, S Cascianelli, E Medico, M Masseroli Alliance Against Cancer 7th Annual Meeting–New Technologies and Strategies …, 2022 | | 2022 |
| Scenarios for the Integration of Microarray Gene Expression Profiles in COVID-19–Related Studies A Bernasconi, S Cascianelli Microarray Data Analysis, 195-215, 2022 | | 2022 |
| Investigating transcript isoform RNA-seq data and machine learning techniques for breast cancer subtyping S Cascianelli, S Sanatdoost, M Masseroli BITS 2021: 17th Annual Meeting of the Bioinformatics Italian Society., 22-23, 2021 | | 2021 |
| Evaluating Deep Semi-supervised Learning for Whole-Transcriptome Breast Cancer Subtyping S Cascianelli, F Cristovao, A Canakoglu, M Carman, L Nanni, P Pinoli, ... Computational Intelligence Methods for Bioinformatics and Biostatistics …, 2020 | | 2020 |
