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Tommaso Mazza
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2020 – today
- 2022
- [j25]Pietro Hiram Guzzi, Francesco Petrizzelli
, Tommaso Mazza
Disease spreading modeling and analysis: a survey. Briefings Bioinform. 23(4) (2022) - [j24]Laura Fancello, Alessandro Guida
TMBleR: a bioinformatic tool to optimize TMB estimation and predictive power. Bioinform. 38(6): 1724-1726 (2022) - [j23]Francesco Petrizzelli
Connecting the dots: A practical evaluation of web-tools for describing protein dynamics as networks. Frontiers Bioinform. 2 (2022) - [c18]Francesco Chiodo, Mario Torchia, Enza Messina, Elisabetta Fersini, Tommaso Mazza, Pietro Hiram Guzzi:
A novel framework based on network embedding for the simulation and analysis of disease progression. BIBM 2022: 1886-1890 - [i2]Francesco Petrizzelli, Pietro Hiram Guzzi, Tommaso Mazza:
Beyond COVID-19 Pandemic: Topology-aware optimisation of vaccination strategy for minimising virus spreading. CoRR abs/2202.08229 (2022) - 2021
- [j22]Stefano Castellana
A comparative benchmark of classic DNA motif discovery tools on synthetic data. Briefings Bioinform. 22(6) (2021) - [j21]Stefano Castellana
MitImpact 3: modeling the residue interaction network of the Respiratory Chain subunits. Nucleic Acids Res. 49(Database-Issue): D1282-D1288 (2021)
2010 – 2019
- 2018
- [j20]Tommaso Biagini
Molecular dynamics recipes for genome research. Briefings Bioinform. 19(5): 853-862 (2018) - [j19]Daniele Capocefalo
Food Web Topology and Nested Keystone Species Complexes. Complex. 2018: 1979214:1-1979214:8 (2018) - 2017
- [j18]Stefano Castellana
High-confidence assessment of functional impact of human mitochondrial non-synonymous genome variations by APOGEE. PLoS Comput. Biol. 13(6) (2017) - 2015
- [j17]Tommaso Mazza
Functional Impact of Autophagy-Related Genes on the Homeostasis and Dynamics of Pancreatic Cancer Cell Lines. IEEE ACM Trans. Comput. Biol. Bioinform. 12(3): 667-678 (2015) - 2013
- [j16]Tommaso Mazza
Multi-Sided Compression Performance Assessment of ABI SOLiD WES Data. Algorithms 6(2): 309-318 (2013) - [j15]Salvatore Menniti, Emanuele Castagna, Tommaso Mazza
Estimating the global density of graphs by a sparseness index. Appl. Math. Comput. 224: 346-357 (2013) - [j14]Stefano Castellana
Congruency in the prediction of pathogenic missense mutations: state-of-the-art web-based tools. Briefings Bioinform. 14(4): 448-459 (2013) - [j13]Stefano Castellana
A solid quality-control analysis of AB SOLiD short-read sequencing data. Briefings Bioinform. 14(6): 684-695 (2013) - [j12]Tommaso Mazza
Affinity analysis of differentially expressed genes in hepatocytes expressing HCV core genotype 1b or 3a. Biosyst. 114(1): 64-68 (2013) - 2012
- [j11]Erik Dassi
AURA: Atlas of UTR Regulatory Activity. Bioinform. 28(1): 142-144 (2012) - [j10]Kaushik R. Chowdhury
Modeling and Simulation of Smart and Green Computing Systems. Computer 45(9): 22-23 (2012) - [j9]Tommaso Mazza
High Performance Computational Systems Biology. IEEE ACM Trans. Comput. Biol. Bioinform. 9(3): 641-642 (2012) - [j8]Tommaso Mazza
The Relevance of Topology in Parallel Simulation of Biological Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 9(3): 911-923 (2012) - 2011
- [c17]Tommaso Mazza
Stability analysis of biological network topologies during stochastic simulation. SimuTools 2011: 51-56 - 2010
- [j7]Tommaso Mazza
Editorial: Accelerating systems biology. Briefings Bioinform. 11(3): 267-269 (2010) - [j6]Tommaso Mazza
Estimating the divisibility of complex biological networks by sparseness indices. Briefings Bioinform. 11(3): 364-374 (2010) - [j5]Tommaso Mazza
Snazer: the simulations and networks analyzer. BMC Syst. Biol. 4: 1 (2010)
2000 – 2009
- 2009
- [j4]Paolo Ballarini
Taming the complexity of biological pathways through parallel computing. Briefings Bioinform. 10(3): 278-288 (2009) - [c16]Gennaro Iaccarino
Fastest parallel molecular algorithms for the elliptic curve discrete logarithm problem over GF(2n). BADS@ICAC 2009: 95-104 - [c15]Paolo Ballarini
Efficient Parallel Statistical Model Checking of Biochemical Networks. PDMC 2009: 47-61 - [i1]Attila Csikász-Nagy, Adrien Fauré, Roberto Larcher, Paola Lecca, Ivan Mura, Ferenc Jordán, Alida Palmisano, Alessandro Romanel, Sean Sedwards, Heike Siebert, Sylvain Soliman, Denis Thieffry, Judit Zámborszky, Tommaso Mazza, Paolo Ballarini:
Analyzing various models of Circadian Clock and Cell Cycle coupling. Formal Methods in Molecular Biology 2009 - 2008
- [c14]Lorenzo Dematté, Tommaso Mazza
On Parallel Stochastic Simulation of Diffusive Systems. CMSB 2008: 191-210 - [c13]Paolo Ballarini
Studying Irreversible Transitions in a Model of Cell Cycle Regulation. PASM@EPEW 2008: 39-53 - [c12]Tommaso Mazza
Cell Cycle and Tumor Growth in Membrane Systems with Peripheral Proteins. MeCBIC 2008: 127-141 - 2007
- [j3]Sean Sedwards, Tommaso Mazza
Cyto-Sim: a formal language model and stochastic simulator of membrane-enclosed biochemical processes. Bioinform. 23(20): 2800-2802 (2007) - [j2]Mario Cannataro
Using ontologies for preprocessing and mining spectra data on the Grid. Future Gener. Comput. Syst. 23(1): 55-60 (2007) - [c11]Tommaso Mazza
Towards a Complete Covering of SBML Functionalities. Workshop on Membrane Computing 2007: 353-366 - 2006
- [j1]Mario Cannataro, Pietro Hiram Guzzi, Tommaso Mazza
Managing ontologies for Grid computing. Multiagent Grid Syst. 2(1): 29-44 (2006) - [c10]Pietro Hiram Guzzi, Mario Cannataro
Analysis and Classification of Proteomics Data, a Case Study. CBMS 2006: 913-918 - [c9]Giuditta Franco
Mitotic Oscillators as MP Graphs. Workshop on Membrane Computing 2006: 382-394 - 2005
- [c8]Mario Cannataro
Preprocessing of Mass Spectrometry Proteomics Data on the Grid. CBMS 2005: 549-554 - [c7]Mario Cannataro, Pietro Hiram Guzzi, Tommaso Mazza, Giuseppe Tradigo, Pierangelo Veltri:
Using Ontologies in PROTEUS for Modeling Proteomics Data Mining Applications. HealthGrid 2005: 17-26 - [c6]Mario Cannataro, Pietro Hiram Guzzi, Tommaso Mazza
Algorithms and Databases in Bioinformatics: Towards a Proteomic Ontology. ITCC (1) 2005: 322-328 - [c5]Mario Cannataro
MS-Analyzer: Intelligent Preprocessing, Management, and Data Mining Analysis of Mass Spectrometry Data on the Grid. SKG 2005: 22 - [c4]Mario Cannataro
Distributed Management of Ontologies on the Grid. WETICE 2005: 261-266 - [c3]Mario Cannataro
On the Preprocessing of Mass Spectrometry Proteomics Data. WIRN/NAIS 2005: 127-131 - 2004
- [c2]Mario Cannataro, Pietro Hiram Guzzi, Tommaso Mazza
Using PROTEUS for Modeling Data Mining Analysis of Proteomics Experiments on the Grid. OTM Workshops 2004: 232-243 - [c1]Francesco Baudi, Mario Cannataro, Rita Casadonte, Francesco Costanzo, Giovanni Cuda, Maria Concetta Faniello, Marco Gaspari, Pietro Hiram Guzzi, Tommaso Mazza
Mass Spectrometry Data Analysis for Early Detection of Inherited Breast Cancer. WIRN 2004: 21-28
Coauthor Index
aka: Pietro Hiram Guzzi
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