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Paolo Tieri
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2020 – today
- 2023
- [j14]Paola Stolfi, Andrea Mastropietro
, Giuseppe Pasculli
NIAPU: network-informed adaptive positive-unlabeled learning for disease gene identification. Bioinform. 39(2) (2023) - [j13]Maria Concetta Palumbo
A computational model of the effects of macronutrients absorption and physical exercise on hormonal regulation and metabolic homeostasis. Comput. Biol. Medicine 163: 107158 (2023) - [j12]Filippo Castiglione
Explainable Drug Repurposing Approach From Biased Random Walks. IEEE ACM Trans. Comput. Biol. Bioinform. 20(2): 1009-1019 (2023) - [c11]Enrico Mastrostefano, Alessandro Ravoni
Harnessing computational models to uncover the role of the immune system in tuberculosis treatment. BIBM 2023: 3725-3732 - 2022
- [c10]Pratuat Amatya, Paola Stolfi, Flavio Lombardi, Paolo Tieri:
DruSiLa: an integrated, in-silico disease similarity-based approach for drug repurposing. BIBM 2022: 1879-1885 - [c9]Riccardo De Luca, Marco Carfora, Gonzalo Blanco, Andrea Mastropietro
PROCONSUL: PRObabilistic exploration of CONnectivity Significance patterns for disease modULe discovery. BIBM 2022: 1941-1947 - [c8]Alessia Palleschi, Manuela Petti, Paolo Tieri
Toward Disease Diagnosis Visual Support Bridging Classic and Precision Medicine. EuroVA@EuroVis 2022: 25-29 - 2021
- [j11]Haiying Wang, Estelle Pujos-Guillot
Deep learning in systems medicine. Briefings Bioinform. 22(2): 1543-1559 (2021) - [j10]Olga Lazareva, Stefan Canzar
BiCoN: network-constrained biclustering of patients and omics data. Bioinform. 37(16): 2398-2404 (2021) - [i1]Paola Stolfi, Andrea Mastropietro, Giuseppe Pasculli, Paolo Tieri, Davide Vergni:
Adaptive Positive-Unlabelled Learning via Markov Diffusion. CoRR abs/2108.06158 (2021) - 2020
- [j9]David B. Blumenthal
EpiGEN: an epistasis simulation pipeline. Bioinform. 36(19): 4957-4959 (2020) - [j8]Paola Stolfi
Potential predictors of type-2 diabetes risk: machine learning, synthetic data and wearable health devices. BMC Bioinform. 21-S(17): 508 (2020)
2010 – 2019
- 2019
- [j7]Massimiliano Zanin, Ivan Chorbev, Blaz Stres
Community effort endorsing multiscale modelling, multiscale data science and multiscale computing for systems medicine. Briefings Bioinform. 20(3): 1057-1062 (2019) - [j6]Vinca Prana, Paolo Tieri
Modeling the Effect of High Calorie Diet on the Interplay between Adipose Tissue, Inflammation, and Diabetes. Comput. Math. Methods Medicine 2019: 7525834:1-7525834:8 (2019) - [c7]Alessandro Celestini
Critical nodes reveal peculiar features of human essential genes and protein interactome. BIBM 2019: 2121-2128 - [c6]Paola Stolfi, Ilaria Valentini, Maria Concetta Palumbo
Potential predictors of type-2 diabetes risk: machine learning, synthetic data and wearable health devices. BIBM 2019: 2214-2221 - [r1]Paolo Tieri
Network Inference and Reconstruction in Bioinformatics. Encyclopedia of Bioinformatics and Computational Biology (2) 2019: 805-813 - 2018
- [j5]Maria Concetta Palumbo
Personalizing physical exercise in a computational model of fuel homeostasis. PLoS Comput. Biol. 14(4) (2018) - [c5]Leandro Martins de Freitas
A mathematical model of Chagas disease infection predicts inhibition of the immune system. BIBM 2018: 1374-1379 - [c4]Henrique Assis Lopes de Ribeiro, Tatiani Uceli Maioli, Leandro Martins de Freitas
A mathematical model of murine macrophage infected with Leishmania sp. BIBM 2018: 1425-1430 - 2016
- [j4]Antonio Cappuccio
Multiscale modelling in immunology: a review. Briefings Bioinform. 17(3): 408-418 (2016) - [j3]Filippo Castiglione
Statistical ensemble of gene regulatory networks of macrophage differentiation. BMC Bioinform. 17(S-19): 119-128 (2016) - 2014
- [c3]Paolo Tieri, Vinca Prana, Teresa Colombo, Daniele Santoni
Multi-scale Simulation of T Helper Lymphocyte Differentiation. BSB 2014: 123-134
2000 – 2009
- 2007
- [j2]Daniel Remondini
Networks from Gene Expression Time Series: Characterization of Correlation Patterns. Int. J. Bifurc. Chaos 17(7): 2477-2483 (2007) - 2005
- [j1]Paolo Tieri
Quantifying the relevance of different mediators in the human immune cell network. Bioinform. 21(8): 1639-1643 (2005) - [c2]Daniel Remondini
A General Learning Rule for Network Modeling of Neuroimmune Interactome. WIRN/NAIS 2005: 286-292 - 2003
- [c1]Paolo Tieri
Memory and Selectivity in Evolving Scale-Free Immune Networks. ICARIS 2003: 93-101
Coauthor Index
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