Author

Giacomo Caviglia

University of Genoa

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Systems Biology· 3 Bioinformatics· 1 Physiology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:statistical model· 5 Organism:human· 2 Assay:imaging· 1

Frequent Co-Authors

Michele PianaiD· 5 shared Sara SommarivaiD· 4 shared Giorgia Biddau· 2 shared Federico BenvenutoiD· 1 shared Gianmario Sambuceti· 1 shared Mara ScussoliniiD· 1 shared Sara Garbarino· 1 shared Silvia BerraiD· 1 shared

Activity by Year

2017-2025 · peak 2/yr

Co-Author Collaboration Network

9 top collaborators · 18 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

5 shared papersSystems Biology

Michele PianaORCID

Mutual co-authors in cluster

Author profile →

5 papers

Recent·Most cited

From Michaelis-Menten parameters to microscopic rate constants: an inversion approach for enzyme kinetics

Silvia Berra, Sara Sommariva, Michele Piana, Giacomo Caviglia

This paper presents an inversion method to recover microscopic rate constants from Michaelis-Menten parameters in enzyme kinetics, with applications to biochemical pathway modeling.

bioRxiv · Oct 23, 2025 · PreprintBioinformatics

In-silico modelling of the mitogen-activated kinase (MAPK) pathway in colorectal cancer: mutations and targeted therapy

Sara Sommariva, Silvia Berra, Giorgia Biddau, Giacomo Caviglia, Federico Benvenuto, Michele Piana

The paper uses chemical reaction networks to model the MAPK pathway in colorectal cancer, analyzing mutation effects and simulating multi-target therapy.

bioRxiv · Apr 18, 2023 · PreprintSystems Biology

SSI: A Statistical Sensitivity Index for Chemical Reaction Networks in cancer

Giorgia Biddau, Giacomo Caviglia, Michele Piana, Sara Sommariva

The paper introduces a statistical sensitivity index to assess the impact of parameters and initial concentrations on cancer-related signalling network outputs using principal component analysis.

bioRxiv · Jan 12, 2023 · PreprintSystems Biology

Gain and Loss of Function mutations in biological chemical reaction networks: a mathematical model with application to colorectal cancer cells

Sara Sommariva, Giacomo Caviglia, Michele Piana

Journal of Mathematical Biology · May 1, 2021Peer-reviewedSystems Biology

Parametric Imaging Of FDG-PET Data Using Physiology And Iterative Regularization: Application To The Hepatic And Renal Systems

Mara Scussolini, Sara Garbarino, Gianmario Sambuceti, Giacomo Caviglia, Michele Piana

The paper develops parametric imaging methods for FDG-PET data using physiology and iterative regularization, applied to the hepatic and renal systems to improve tracer metabolism analysis.

bioRxiv · May 11, 2017 · PreprintPhysiology