Publications:

C. Genova, C. Dellepiane, P. Carrega, S. Sommariva, G. Ferlazzo, P. Pronzato, R. Gangemi, G. Filaci, S. Coco, M. Croce
Therapeutic Implications of Tumor Microenvironment in Lung Cancer: Focus on Immune Checkpoint Blockade
Frontiers in immunology 12, 799455 (2022).

S. Sommariva, G. Caviglia, S. Ravera, F. Frassoni, F. Benvenuto, L. Tortolina, N. Castagnino, S. Parodi, M. Piana
Computational quantification of global effects induced by mutations and drugs in signaling networks of colorectal cancer cells.
Sci Rep 11, 19602 (2021).
bioarXiv: https://doi.org/10.1101/2020.12.30.424842

S. Sommariva, G. Caviglia, G. Sambuceti, M. Piana
Mathematical Models for FDG Kinetics in Cancer: A Review
Metabolites 11 (8), 519 (2021).

S. Sommariva, M. Scussolini, V. Cossu, C. Marini, G. Sambuceti, G. Caviglia, M. Piana
The role of endoplasmic reticulum in in vivo cancer FDG kinetics
PloS one 16 (6), e0252422 (2021).

S. Sommariva, G. Caviglia, M. Piana
Gain and Loss of Function mutations in biological chemical reaction networks: a mathematical model with application to colorectal cancer cells
Journal of Mathematical Biology 82 (6), 1-25 (2021).
arXiv:2004.02632 [q-bio.MN]

E. Vallarino, M. Piana, A. Sorrentino, S. Sommariva
The role of spectral complexity in connectivity estimation
Axioms 10 (1), 35 (2021).
arXiv:2011.14827 [math.NA]

M. Piana, G. Caviglia, S. Sommariva
Mathematical modelling of nuclear medicine data
2020 IEEE 20th Mediterranean Electrotechnical Conference (MELECON), 415-418 (2020).
arXiv:2001.06884 [q-bio.TO]

E. Vallarino, S. Sommariva, A. Sorrentino, M. Piana
On the two–step estimation of the cross–power spectrum for dynamical linear inverse problems
Inverse Problems, 36 04501 (2020).
arxiv:1909.01266 [math.NA]

V. Vivaldi, S. Sommariva, A. Sorrentino
A simplex method for the calibration of a MEG device
Communications in applied and industrial mathematics, 10 (2), 35-46 (2019).

G. Luria, D. Duran, E. Visani, S. Sommariva, F. Rotondi, D. Rossi Sebastiano, F. Panzica, M. Piana, A. Sorrentino
Bayesian multi-dipole modeling in the frequency domain
The Journal of Neuroscience Methods (2018)
arXiv:1808.08086 [q-bio.QM]

S. Sommariva, A. Sorrentino, M.Piana, V. Pizzella and L. Marzetti
A comparative analysis of the robustness of frequency--domain connectivity measures to finite data length
Brain Topography (2017)
arXiv:1711.03332 [math.NA, q-bio.QM]

F. Rossi, G. Luria, S. Sommariva and A. Sorrentino
Bayesian multi-dipole localization and uncertainty quantification from simultaneous EEG and MEG recordings
EMBEC 2017, IFMBE Proceedings, vol 65 (2017)
arXiv:1706.06089 [q-bio.QM]

S. Sommariva and A. Sorrentino
Sequential Monte Carlo samplers for semi-linear inverse problems and application to Magnetoencephalography.
Inverse Problems, 30 114020 (2014).
arXiv:1409.8109 [stat.AP]