| Dissecting the heritable risk of breast cancer: From statistical methods to susceptibility genes V Fanfani, M Zatopkova, AL Harris, F Pezzella, G Stracquadanio Seminars in cancer biology 72, 175-184, 2021 | 12 | 2021 |
| The Landscape of the Heritable Cancer GenomeThe Landscape of the Heritable Cancer Genome V Fanfani, L Citi, AL Harris, F Pezzella, G Stracquadanio Cancer Research 81 (10), 2588-2599, 2021 | 12 | 2021 |
| Systematic analysis of the IL‐17 receptor signalosome reveals a robust regulatory feedback loop H Draberova, S Janusova, D Knizkova, T Semberova, M Pribikova, ... The EMBO journal 39 (17), e104202, 2020 | 11 | 2020 |
| Debugging and consolidating multiple synthetic chromosomes reveals combinatorial genetic interactions Y Zhao, C Coelho, AL Hughes, L Lazar-Stefanita, S Yang, AN Brooks, ... bioRxiv, 2022.04. 11.486913, 2022 | 6 | 2022 |
| Mutation landscape of multiple myeloma measurable residual disease: identification of targets for precision medicine M Zátopková, T Ševčíková, V Fanfani, Z Chyra, L Říhová, R Bezděková, ... Blood Advances 6 (2), 368-372, 2022 | 3 | 2022 |
| The Network Zoo: a multilingual package for the inference and analysis of gene regulatory networks M Ben Guebila, T Wang, CM Lopes-Ramos, V Fanfani, D Weighill, ... Genome Biology 24 (1), 45, 2023 | 1 | 2023 |
| Synthetic yeast chromosome XI design enables extrachromosomal circular DNA formation on demand BA Blount, X Lu, MRM Driessen, D Jovicevic, MI Sanchez, K Ciurkot, ... bioRxiv, 2022.07. 15.500197, 2022 | 1 | 2022 |
| Manipulating the 3D organization of the largest synthetic yeast chromosome W Zhang, L Lazar-Stefanita, H Yamashita, MJ Shen, LA Mitchell, ... bioRxiv, 2022.04. 09.487066, 2022 | 1 | 2022 |
| Discovering cancer driver genes and pathways using stochastic block model graph neural networks V Fanfani, RV Torne, P Lio’, G Stracquadanio bioRxiv, 2021.06. 29.450342, 2021 | 1 | 2021 |
| PyGNA: a unified framework for geneset network analysis V Fanfani, F Cassano, G Stracquadanio BMC bioinformatics 21 (1), 1-22, 2020 | 1 | 2020 |
| Gene-level heritability analysis explains the polygenic architecture of cancer V Fanfani, L Citi, AL Harris, F Pezzella, G Stracquadanio bioRxiv, 599753, 2019 | 1 | 2019 |
| Biologically informed NeuralODEs for genome-wide regulatory dynamics I Hossain, V Fanfani, J Quackenbush, R Burkholz bioRxiv, 2023.02. 24.529835, 2023 | | 2023 |
| The Network Zoo: a multilingual package for the inference and analysis of biological networks MB Guebila, T Wang, CM Lopes-Ramos, V Fanfani, D Weighill, ... bioRxiv, 2022.05. 30.494077, 2022 | | 2022 |
| Machine learning and large scale cancer omic data: decoding the biological mechanisms underpinning cancer V Fanfani University of Edinburgh, 2022 | | 2022 |
| A unified framework for geneset network analysis V Fanfani, G Stracquadanio bioRxiv, 699926, 2019 | | 2019 |
| Classification of resting state fMRI datasets: machine learning methods for the identification of patients with anxiety disorders. V FANFANI | | 2017 |
Giovanni StracquadanioSenior Lecturer in Synthetic Biology, The University of EdinburghΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα ed.ac.uk
