| Predicting the artificial immunity induced by RUTI® vaccine against tuberculosis using universal immune system simulator (UISS) M Pennisi, G Russo, G Sgroi, A Bonaccorso, GA Parasiliti Palumbo, ... BMC bioinformatics 20, 1-10, 2019 | 33 | 2019 |
| The potential of computational modeling to predict disease course and treatment response in patients with relapsing multiple sclerosis F Pappalardo, G Russo, M Pennisi, GA Parasiliti Palumbo, G Sgroi, ... Cells 9 (3), 586, 2020 | 30 | 2020 |
| A multi-step and multi-scale bioinformatic protocol to investigate potential SARS-CoV-2 vaccine targets G Russo, V Di Salvatore, G Sgroi, GA Parasiliti Palumbo, PA Reche, ... Briefings in bioinformatics 23 (1), bbab403, 2022 | 21 | 2022 |
| Moving forward through the in silico modeling of tuberculosis: a further step with UISS-TB G Russo, G Sgroi, GA Parasiliti Palumbo, M Pennisi, MA Juarez, ... BMC bioinformatics 21, 1-13, 2020 | 14 | 2020 |
| Agent based modeling of relapsing multiple sclerosis: A possible approach to predict treatment outcome F Pappalardo, G Russo, M Pennisi, G Sgroi, GAP Palumbo, S Motta, ... 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2018 | 11 | 2018 |
| An agent based modeling approach for the analysis of tuberculosis–immune system dynamics F Pappalardo, G Russo, M Pennisi, G Sgroi, GAP Palumbo, S Motta, ... 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2018 | 9 | 2018 |
| Text mining and word embedding for classification of decision making variables in breast cancer surgery G Catanuto, N Rocco, A Maglia, P Barry, A Karakatsanis, G Sgroi, ... European Journal of Surgical Oncology 48 (7), 1503-1509, 2022 | 8 | 2022 |
| EpiMethEx: a tool for large-scale integrated analysis in methylation hotspots linked to genetic regulation S Candido, GA Parasiliti Palumbo, M Pennisi, G Russo, G Sgroi, ... BMC bioinformatics 19, 43-53, 2019 | 7 | 2019 |
| PETAL: a Python tool for deep analysis of biological pathways G Sgroi, G Russo, F Pappalardo Bioinformatics 36 (22-23), 5553-5555, 2020 | 6 | 2020 |
| The potential of computational modeling to predict disease course and treatment response in patients with relapsing multiple sclerosis. Cells. 2020; 9: 586 F Pappalardo, G Russo, M Pennisi, GA Parasiliti Palumbo, G Sgroi, ... | 6 | |
| Bayesian augmented clinical trials in TB therapeutic vaccination D Kiagias, G Russo, G Sgroi, F Pappalardo, MA Juárez Frontiers in Medical Technology 3, 719380, 2021 | 5 | 2021 |
| In silico evaluation of daclizumab and vitamin D effects in multiple sclerosis using agent based models M Pennisi, G Russo, G Sgroi, GAP Palumbo, F Pappalardo International Meeting on Computational Intelligence Methods for …, 2019 | 3 | 2019 |
| Evaluation of word embedding models to extract and predict surgical data in breast cancer G Sgroi, G Russo, A Maglia, G Catanuto, P Barry, A Karakatsanis, ... BMC bioinformatics 22 (Suppl 14), 631, 2021 | 2 | 2021 |
| Evaluation of the predictive capability of PETAL tool: a retrospective study on potential tyrosine kinases drug resistance targets G Sgroi, M Pennisi, G Russo, F Pappalardo, GAP Palumbo 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2020 | 2 | 2020 |
| Verify: a toolbox for deterministic verification of computational models GAP Palumbo, G Russo, G Sgroi, M Viceconti, M Pennisi, C Curreli, ... 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2020 | 2 | 2020 |
| A MapReduce tool for in-depth analysis of KEGG pathways: identification and visualization of therapeutic target candidates GAP Palumbo, P Biondi, G Sgroi, M Pennisi, G Russo, F Pappalardo 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2019 | 2 | 2019 |
| Peak: A clever python tool for exploratory, regression, and classification data. a case study for covid-19 G Sgroi, GA Parasiliti Palumbo, V Di Salvatore, G Russo, F Pappalardo Bioengineering and Biomedical Signal and Image Processing: First …, 2021 | 1 | 2021 |
| The potential of computational modeling to predict disease course and treatment response in patients with relapsing multiple sclerosis F Papparlardo, G Russo, M Pennisi, GAP Palumbo, G Sgroi, S Motta, ... Preprints, 2020 | 1 | 2020 |
| A MapReduce based tool for the analysis and discovery of novel therapeutic targets G Parasiliti, M Pennisi, P Biondi, G Sgroi, G Russo, C Napoli, ... 2019 27th Euromicro International Conference on Parallel, Distributed and …, 2019 | 1 | 2019 |
| 2DIs: A SBML compliant web platform for the design and modeling of immune system interactions M Pennisi, G Russo, G Sgroi, G Parasiliti, F Pappalardo Intelligent Computing Theories and Application: 13th International …, 2017 | 1 | 2017 |
Giulia RussoPost-doc, Università degli Studi di CataniaVerified email at unict.it
