SGROI, GIUSEPPE

SGROI, GIUSEPPE  

MATEMATICA E INFORMATICA  

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Titolo Data di pubblicazione Autore(i) File
2DIs: a SBML compliant web platform for the design and modeling of immune system interactions 1-gen-2017 Pennisi, M; Russo, G; Sgroi, G; Parasiliti, G; Pappalardo, F
An agent based modeling approach for the analysis of tuberculosis - Immune system dynamics 1-gen-2018 Pappalardo, Francesco; Russo, Giulia; Pennisi, Marzio; Sgroi, Giuseppe; Alessandro, Giuseppe; Palumbo, Parasiliti; Motta, Santo; Fichera, Epifanio
Agent based modeling of relapsing multiple sclerosis: A possible approach to predict treatment outcome 1-gen-2018 Pappalardo, Francesco; Russo, Giulia; Pennisi, Marzio; Sgroi, Giuseppe; Scuderi, Alessandro Giuseppe; Palumbo, Parasiliti; Motta, Santo; Maimone, Davide; Chiacchio, Ferdinando
EpiMethEx: a tool for large-scale integrated analysis in methylation hotspots linked to genetic regulation 1-gen-2019 Candido, S; PARASILITI PALUMBO, GIUSEPPE ALESSANDRO; Pennisi, M; Russo, G; Sgroi, G; DI SALVATORE, Valentina; Libra, M; Pappalardo, F
In silico evaluation of daclizumab and vitamin D effects in multiple sclerosis using agent based models 1-gen-2020 Pennisi, M.; Russo, G.; Sgroi, G.; Palumbo, G. A. P.; Pappalardo, F.
A MapReduce Based Tool for the Analysis and Discovery of Novel Therapeutic Targets 1-gen-2019 Parasiliti, Giuseppe; Pennisi, Marzio; Biondi, Pietro; Sgroi, Giuseppe; Russo, Giulia; Napoli, Christian; Pappalardo, Francesco
A MapReduce tool for in-depth analysis of KEGG pathways: identification and visualization of therapeutic target candidates 1-gen-2019 Palumbo, Giuseppe Alessandro Parasiliti; Biondi, Pietro; Sgroi, Giuseppe; Pennisi, Marzio; Russo, Giulia; Pappalardo, Francesco
Moving forward through the in silico modeling of tuberculosis: a further step with UISS-TB 1-gen-2020 Russo, G.; Sgroi, G.; Parasiliti Palumbo, G. A.; Pennisi, M.; Juarez, M. A.; Cardona, P. -J.; Motta, S.; Walker, K. B.; Fichera, E.; Viceconti, M.; Pappalardo, F.
A multi-step and multi-scale bioinformatic approach to investigate potential source of cross-reactive immunity against SARS-CoV-2 UK variant 1-gen-2021 Salvatore, V. D.; Maleki, A.; Russo, G.; Sgroi, G.; Palumbo, G. A. P.; Pappalardo, F.
A multi-step and multi-scale bioinformatic protocol to investigate potential SARS-CoV-2 vaccine targets 1-gen-2022 Russo, Giulia; Di Salvatore, Valentina; Sgroi, Giuseppe; Parasiliti Palumbo, Giuseppe Alessandro; Reche, Pedro A; Pappalardo, Francesco
PEAK: A Clever Python Tool for Exploratory, Regression, and Classification Data. A Case Study for COVID-19 1-gen-2021 Sgroi, G.; Parasiliti Palumbo, G. A.; Di Salvatore, V.; Russo, G.; Pappalardo, F.
PETAL: A Python tool for deep analysis of biological pathways 1-gen-2020 Sgroi, G.; Russo, G.; Pappalardo, F.
The Potential of Computational Modeling to Predict Disease Course and Treatment Response in Patients with Relapsing Multiple Sclerosis 1-gen-2020 Pappalardo, Francesco; Russo, Giulia; Pennisi, Marzio; Parasiliti Palumbo, Giuseppe Alessandro; Sgroi, Giuseppe; Motta, Santo; Maimone, Davide
Predicting the artificial immunity induced by RUTI® vaccine against tuberculosis using universal immune system simulator (UISS) 1-gen-2019 Pennisi, Marzio; Russo, Giulia; Sgroi, Giuseppe; Bonaccorso, Angela; Parasiliti Palumbo, Giuseppe Alessandro; Fichera, Epifanio; Mitra, Dipendra Kumar; Walker, Kenneth B; Cardona, Pere-Joan; Amat, Merce; Viceconti, Marco; Pappalardo, Francesco