| Identifying the oncogenic potential of gene fusions exploiting miRNAs M Lovino, M Montemurro, VS Barrese, E Ficarra Journal of Biomedical Informatics 129, 104057, 2022 | 9 | 2022 |
| PhyliCS: a Python library to explore scCNA data and quantify spatial tumor heterogeneity M Montemurro, E Grassi, CG Pizzino, A Bertotti, E Ficarra, G Urgese BMC bioinformatics 22, 1-21, 2021 | 2 | 2021 |
| Effective evaluation of clustering algorithms on single-cell CNA data MMM Montemurro, GGU Urgese, EGEG Grassi, CG CGP, AAB Bertotti, ... Proceedings of the 2020 7th International Conference on Biomedical and …, 2020 | 1 | 2020 |
| EGAsubmitter: A software to automate submission of nucleic acid sequencing data to the European Genome-phenome Archive M Viviani, M Montemurro, L Trusolino, A Bertotti, G Urgese, E Grassi Frontiers in Bioinformatics 3, 1143014, 2023 | | 2023 |
| Algorithms for cancer genome data analysis-Learning techniques for ITH modeling and gene fusion classification M Montemurro Politecnico di Torino, 2022 | | 2022 |
| Identifying the oncogenic potential of gene fusions exploiting miRNAs VS Barrese, M Montemurro, M Lovino, E Ficarra bioRxiv, 2021.10. 20.465128, 2021 | | 2021 |
| Single-cell DNA Sequencing Data: a Pipeline for Multi-Sample Analysis M Montemurro, E Grassi, G Urgese, CG Pizzino, A Bertotti, E Ficarra Titolo volume non avvalorato, 2019 | | 2019 |
| Tools for Integrative Cancer Data Annotation: a Visual Mining Based Approach M Montemurro Politecnico di Torino, 2018 | | 2018 |
