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Giuseppe Sgroi
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2020 – today
- 2022
- [j6]Giulia Russo, Valentina Di Salvatore, Giuseppe Sgroi, Giuseppe Alessandro Parasiliti Palumbo
, Pedro A. Reche
A multi-step and multi-scale bioinformatic protocol to investigate potential SARS-CoV-2 vaccine targets. Briefings Bioinform. 23(1) (2022) - 2021
- [j5]Giuseppe Sgroi, Giulia Russo
PETAL: a Python tool for deep analysis of biological pathways. Bioinform. 36(22-23): 5553-5555 (2021) - [j4]Giuseppe Sgroi, Giulia Russo, Anna Maglia, Giuseppe Catanuto
Evaluation of word embedding models to extract and predict surgical data in breast cancer. BMC Bioinform. 22-S(14): 631 (2021) - [c10]Valentina Di Salvatore, Avisa Maleki
A multi-step and multi-scale bioinformatic approach to investigate potential source of cross-reactive immunity against SARS-CoV-2 UK variant. BIBM 2021: 3303-3307 - [c9]Giuseppe Sgroi, Giuseppe Alessandro Parasiliti Palumbo
PEAK: A Clever Python Tool for Exploratory, Regression, and Classification Data. A Case Study for COVID-19. BIOMESIP 2021: 361-370 - 2020
- [j3]Giulia Russo
Moving forward through the in silico modeling of tuberculosis: a further step with UISS-TB. BMC Bioinform. 21-S(17): 458 (2020) - [c8]Giuseppe Alessandro Parasiliti Palumbo, Giulia Russo
Verify: a toolbox for deterministic verification of computational models. BIBM 2020: 1262-1267 - [c7]Giuseppe Sgroi, Marzio Pennisi, Giulia Russo
Evaluation of the predictive capability of PETAL tool: a retrospective study on potential tyrosine kinases drug resistance targets. BIBM 2020: 1275-1280
2010 – 2019
- 2019
- [j2]Saverio Candido
EpiMethEx: a tool for large-scale integrated analysis in methylation hotspots linked to genetic regulation. BMC Bioinform. 19-S(13): 43-53 (2019) - [j1]Marzio Pennisi, Giulia Russo
Predicting the artificial immunity induced by RUTI® vaccine against tuberculosis using universal immune system simulator (UISS). BMC Bioinform. 20-S(6): 504 (2019) - [c6]Giuseppe Alessandro Parasiliti Palumbo, Pietro Biondi
A MapReduce tool for in-depth analysis of KEGG pathways: identification and visualization of therapeutic target candidates. BIBM 2019: 2157-2162 - [c5]Marzio Pennisi
In Silico Evaluation of Daclizumab and Vitamin D Effects in Multiple Sclerosis Using Agent Based Models. CIBB 2019: 285-298 - [c4]Giuseppe Parasiliti
A MapReduce Based Tool for the Analysis and Discovery of Novel Therapeutic Targets. PDP 2019: 323-328 - 2018
- [c3]Francesco Pappalardo
Agent based modeling of relapsing multiple sclerosis: a possible approach to predict treatment outcome. BIBM 2018: 1380-1385 - [c2]Francesco Pappalardo
An agent based modeling approach for the analysis of tuberculosis - immune system dynamics. BIBM 2018: 1386-1392 - 2017
- [c1]Marzio Pennisi
2DIs: A SBML Compliant Web Platform for the Design and Modeling of Immune System Interactions. ICIC (2) 2017: 145-154
Coauthor Index
aka: Giuseppe Parasiliti
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