June 23, 2017, Friday

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Alex Graudenzi

Contents

Position

Assistant professor (RTD-A) at the Dept. of Informatics, Systems and Communication of the University of Milan-Bicocca.


Research Areas

  • Bioinformatics / Computational Biology
  • Multiscale Modeling and Simulation
  • Cancer Evolution
  • Complex systems


(Main) Focus Areas 

  • Bayesian inference of cancer progression models
  • Multiscale modeling and simulation of multicellular systems
  • Genomic data processing and analysis
  • Dynamical models of biological networks


Short Bio

Google Scholar profile

Scopus profile

ORCID profile


Prizes

  • Silver prize (2000 US$) at the “Open Source Software World Challenge 2016” by The Ministry of Science, ICT and Future Planning of Korea (http://ossaward.org/eng/m0301view.do?board_seq=429). Nome del progetto: “TRONCO-PiCnIc”, by Caravagna, G., Ramazzotti, D., De Sano, L., Graudenzi, Mauri, G., Antoniotti, M., Mishra, B.
  • DISCO (Dipartimento di Informatica, Sistemistica e Comunicazione, Università di Milano-Bicocca) 2014 – Best Interdisciplinary Journal Paper Award (500€), for the paper: Olde Loohuis, L.*, Caravagna, G.*, Graudenzi, A.*, Ramazzotti, D.*, Mauri, G., Antoniotti, M., Mishra, B. (2014): Inferring causal models of cancer progression with a shrinkage estimator and probability raising (* equal contributors). PLoS ONE 9(10): e108358. doi:10.1371/journal.pone.0108358.


Publications (last update: January 2017)

Papers on International Journals

  1. Rubinacci, S., Caravagna, G., Graudenzi, A., Ramazzotti, D., Antoniotti, M. and Bartocci, E., (2017): Logical verification of interactive spatial systems (working title). In preparation.
  2. Rizza, M. F., Masoli, S., Graudenzi, A., Caravagna, G., Casali, S., Antoniotti, M., D'Angelo, E., (2017): The cerebellar microcircuitry: new modelling strategies for a long-standing issue (working title). In preparation.
  3. Ramazzotti, D., Graudenzi, A., De Sano, L., Antoniotti, M., Caravagna, G. (2017): CoMfIT: Efficient inference of complex clonal evolutions in single tumors from single-cell and multiple biopsy data (working title). In preparation
  4. Ramazzotti, D., Graudenzi, A., Caravagna, G., Antoniotti, M. (2017):Modeling cumulative biological phenomena with Suppes-Bayes Causal Networks. Submtitted.
  5. Ramazzotti, D., Nobile, M., Antoniotti, M., Graudenzi, A. (2017): Learning the Probabilistic Structure of Cumulative Phenomena with Suppes-Bayes Causal Networks. Submitted.
  6. Graudenzi, A., Cava, C., Bertoli, G., Fromm, B., Flatmark, K., Mauri, G., Castiglioni, I. (2017): Pathway-based classification of breast cancer subtypes. Accepted for the publication on Frontiers in Biosciences.
  7. Cava, C., Colaprico, A., Graudenzi, A., Bertoli, G., Silva, T. C., Olsen, C., Noushmehr, H., Bontempi, G., Mauri, G. and Castiglioni, I. (2017): SpidermiR: An R/Bioconductor package for integrative network analysis with miRNA data. Accepted for the publication on the International Journal of Molecular Sciences.
  8. Antoniotti, M., Caravagna, G., De Sano, L., Graudenzi, A., Mauri, G., Mishra, B., and Ramazzotti, D. (alphabetical order) (2016): Design of the TRONCO BioConductor Package for TRanslational ONCOlogy. Accettato per la pubblicazione su R Journal
  9. Caravagna, G., Graudenzi, A., Ramazzotti, D., Sanz-Pamplona, R., De Sano, L., Mauri, G., Moreno, V., Antoniotti, M., and Mishra, B. (2016): Algorithmic Methods to Infer the Evolutionary Trajectories in Cancer Progression. Proc Natl Acad Sci (PNAS) USA113 (28) E4025-E4034; published ahead of print June 28, 2016, doi:10.1073/pnas.1520213113 
  10. De Sano, L., Caravagna, G., Ramazzotti, D., Graudenzi, A., Mauri, G., Mishra, B., and Antoniotti, M. (2016): TRONCO: an R package for the inference of cancer progression models from heterogeneous genomic data. Bioinformatics (Application note) 32 (12): 1911-1913, doi: 10.1093/bioinformatics/btw035
  11. Paroni, A.*, Graudenzi, A.*, Caravagna, G.*, Damiani, C., Mauri, G. and Antoniotti, M. (2016):CABeRNET: a Cytoscape app for Augmented Boolean models of gene Regulatory NETworks(* equal contributors).BMC Bioinformatics17:64, doi 10.1186/s12859-016-0914-z
  12. Graudenzi, A., Caravagna, G., Bocicor, I., Cava, C., Antoniotti, M. and Mauri, G. (2016): Ordering cancer mutational profiles of cross-sectional copy number alterations.Int. J. of Data Mining and Bioinformatics, Vol.15, No.1, pp.59 - 83, doi: http://dx.doi.org/10.1504/IJDMB.2016.076017
  13. Rubinacci, S.*, Graudenzi, A.*, Caravagna, G.*, Osborne, J., Pitt-Francis, J., Mauri, G. and Antoniotti, M. (2015): CoGNaC: a Chaste plugin for the multiscale simulation of Gene regulatory Networks driving the spatial dynamics of tissues and Cancer (* equal contributors). Cancer Informatics 14(S4) 53–65, doi: 10.4137/CIN.S19965
  14. Ramazzotti, D., Caravagna, G., Olde Loohuis, L., Graudenzi, A., Korsunsky, I., Mauri, G., Antoniotti, M., Mishra, B. (2015): CAPRI: Efficient Inference of Cancer Progression Models from Cross-sectional Data. Bioinformatics 31 (18): 3016-3026, doi: 10.1093/bioinformatics/btv296
  15. Villani, M., Filisetti, A., Graudenzi, A., Damiani, C., Carletti, T., Serra, R. (2014): Growth and division in a dynamic protocell model. Life, 4(4), 837-864; doi:10.3390/life4040837
  16. Olde Loohuis, L.*, Caravagna, G.*, Graudenzi, A.*, Ramazzotti, D.*, Mauri, G., Antoniotti, M., Mishra, B. (2014): Inferring causal models of cancer progression with a shrinkage estimator and probability raising (* equal contributors). PLoS ONE 9(10): e108358. doi:10.1371/journal.pone.0108358 
  17. Serra, R., Filisetti, A., Villani, M., Graudenzi, A., Damiani, C., Panini, T. (2014): A stochastic model of catalytic reaction networks in protocells. Natural Computing, 3(3): pp: 367-377. doi: 10.1007/s11047-014-9445-6 
  18. Graudenzi, A.*, Caravagna, G.*, De Matteis, G., Antoniotti, M. (2014)Investigating the Relation between Stochastic Differentiation, Homeostasis and Clonal Expansion in Intestinal Crypts via Multiscale Modeling (* equal contributors).PLoS ONE 9(5): e97272. doi:10.1371/journal.pone.0097272 
  19. Antoniotti, M., Bader, G., Caravagna, G., Crippa, S., Graudenzi, A., Mauri, G. (2013) (alphabetical order): GESTODIFFERENT: A Cytoscape plugin for the generation and the identification of Gene Regulatory Networks describing a stochastic cell differentiation process. Bioinformatics (Applications note) 29(4): 513-514, doi:10.1093/bioinformatics/bts726 
  20. Caravagna, G., Graudenzi, A., D'Onofrio, A. (2013): Distributed delays in a hybrid model of tumor-immune system interplay. Mathematical Biosciences and Engineering, 10(1):37-57. doi: 10.3934/mbe.2013.10.37
  21. Damiani, C., Filisetti, A., Graudenzi, A., Lecca P., (2013):Parameter sensitivity analysis of stochastic models: application to catalytic reaction networks. Computational Biology and Chemistry: 42:5–17, doi: 10.1016/j.compbiolchem.2012.10.007
  22. De Matteis, G., Graudenzi, A., Antoniotti, M., (2013): A review of spatial computational models for multi-cellular systems, with regard to intestinal crypts and colorectal cancer development. Journal of Mathematical Biology: Volume 66, Issue 7, Page 1409-1462, doi: 10.1007/s00285-012-0539-4
  23. Filisetti, A., Graudenzi, A., Serra, R., Villani, M., Fuchslin, R. M., Packard, N., Kauffman, S. A., Poli, I., (2012): A stochastic model of autocatalytic reaction networks. Theory in Biosciences 131(2):85-93. doi: 10.1007/s12064-011-0136-x 
  24. Filisetti, A., Graudenzi, A., Serra, R., Villani, M., De Lucrezia, D., Fuchslin, R. M., Kauffman, S. A., Packard, N., Poli, I., (2011): A stochastic model of the emergence of autocatalytic cycles. Journal of Systems Chemistry, 2:2 doi:10.1186/1759-2208-2-2
  25. Graudenzi, A., Serra, R., Villani, M., Colacci, A., Kauffman, S.A., (2011): Robustness analysis of a Boolean model of gene regulatory network with memory. Journal of Computational Biology, Vol. 18, n. 4:559–577, doi: 10.1089/cmb.2010.0224
  26. Graudenzi, A., Serra, R., Villani, M., Damiani, C., Colacci, A., Kauffman, S.A., (2011):Dynamical properties of a Boolean model of gene regulatory network with memory. Journal of Computational Biology, Vol. 18, n:10:1291-1303. doi: 10.1089/cmb.2010.0069
  27. Serra, R., Villani, M., Graudenzi, A., Colacci A., Kauffman S.A., (2008): The simulation of gene knock-out in scale-free random Boolean models of genetic networks. Networks and Heterogeneous Media, Vol. 3, n. 2: 333-343
  28. Serra, R., Villani. M., Graudenzi, A., Kauffman, S.A., (2007): Why a simple model of genetic regulatory networks describes the distribution of avalanches in gene expression data. Journal of Theoretical Biology, 249 : 449-460, doi: 10.1016/j.jtbi.2007.01.012

Papers on Italian Journals

  1. Serra, R., Villani, M., Damiani, C., Graudenzi, A., Colacci, A., (2008): Comunicazione cellulare, livelli e strutture ordinate. Sistemi Intelligenti, Anno XX, n. 2 / agosto 2008: 209-220, doi: 10.1422/27403


Lecture Notes in Computer Science (LCNS)

  1. Serra, R., Villani, M., Damiani, C., Graudenzi A., Colacci A. (2008): The diffusion of perturbations in a model of coupled random Boolean networks, Lecture Notes in Computer Science, Springer Berlin/Heidelberg, Vol. 5191: 315-322, doi: 10.1007/978-3-540-79992-4_40.


Communication in Computer and Information Science (CCIS)

  1. Graudenzi, A., Damiani, C., Paroni, A., Filisetti, A., Villani, M., Serra, R. and Antoniotti, M. (2014): Investigating the role of network topology and dynamical regimes on the dynamics of a cell differentiation model. Accepted for the publication on the proceedings of Wivace 2014, Italian Workshop on Artificial Life and Evolutionary Computation, May 14-15, Vietri sul Mare, Salerno, Italy.
  2. Filisetti, A., Villani, M., Damiani, C., Graudenzi, A., Roli, A., Hordijk, W. and Serra R. (2014): On RAF sets and autocatalytic cycles in random reaction networks. Accepted for the publication on the proceedings of Wivace 2014, Italian Workshop on Artificial Life and Evolutionary Computation, May 14-15, Vietri sul Mare, Salerno, Italy.


Conference Proceedings (English)

  1. Caravagna, G., Graudenzi, A., Ramazzotti, D., Sanz-Pamplona, R., De Sano, L., Mauri, G., Moreno, V., Antoniotti, M., Mishra, B. (2016): A Machine Learning pipeline to infer causal models of cancer progression from an ensemble of cross-sectional tumors (poster). Accepted at CNIO - La Caixa Foundation Frontiers Meeting: CANCEROMATICS III – TUMOR HETEROGENEITY. Madrid, 13‐16th November 2016
  2. Caravagna, G., Ramazzotti, D., Graudenzi, A., De Sano, L., Mauri, G., Sanz-Pamplona, R., Moreno, V., Mishra, B., Antoniotti, M. (2016): Picnic: a pipeline to study cancer progressions (poster). Accepted at ICSB 2016 (International Conference on Systems Biology), 16 - 20 September 2016, Barcelona.
  3. Antoniotti, M., Caravagna, G., De Sano, L., Graudenzi, A., Mauri, G., Mishra, B., Ramazzotti, D. (abstract) (alphabetical order) (2016): A Pipeline for the Reconstruction of Cancer Progression Models Based on Probabilistic Causation. Accettato per la presentazione orale a “Reproducibility, standards and SOP in bioinformatics” Combined CHARMEEMBnet and NETTAB 2016 Workshop, October 25-26, 2016, Rome, Italy
  4. Caravagna, G., Ramazzotti, D., Graudenzi, A., De Sano, L., Mauri, G., Sanz-Pamplona, R., Moreno, V., Mishra, B., Antoniotti, M. (2016): PiCnIc: A Comparative Study of Cancer Progression (poster). Accettato come poster aICSB 2016, International Conference on Systems Biology, Barcelona, 16-20 Settembre 2016.
  5. Ramazzotti, D., Graudenzi, A., Antoniotti, M. (2016): “Modeling cumulative biological phenomena with Suppes-Bayes causal networks”. Submitted to the 9th Workshop on Biomedical and Bioinformatics Challenges for Computer Science (BBC2016), 6-9 June 2016, San Diego.
  6. D. Ramazzotti, G. Caravagna, L. Olde Loohuis, A. Graudenzi, I. Korsunsky, A. Paroni, L. De Sano, G. Mauri, B. Mishra, M. Antoniotti (2015): “CAPRI: Efficient Inference of Selective Advantage Relationships in Cancer Progression” (poster). [BC]2 2015, the 12th Basel Computational Biology Conference, 7-10 June 2015, Basel.
  7. Ramazzotti, D., Caravagna, G., Olde Loohuis, L., Graudenzi, A., Korsunsky, I., Mauri, G., Antoniotti, M., Mishra, B. (2015): Efficient Inference of Selective Advantage Relationships in Cancer Progression (abstract and poster). BITS 2015, Twelfth Annual Meeting of the Bioinformatics Italian Society, Milan, 4-5 June 2015.
  8. Ramazzotti, D., Caravagna, G., Olde Loohuis, L., Graudenzi, A., Korsunsky, I., Mauri, G., Antoniotti, M., Mishra, B. (2015): An Algorithm for the Efficient Inference of Cancer Progression Models (abstract and poster). Submitted to ISMB/ECCB 2015, 23rd Annual International Conference on Intelligent Systems for Molecular Biology and the 14th European Conference on Computational Biology. Dublin, July 10 – 14, 2015
  9. Spinozzi, G., Calabria, A., Caravagna, G., Graudenzi, A., Ramazzotti, D., Antoniotti, M., Mauri, G., Montini, E. (2015): Studying the Drug-Resistance Mechanisms with a new Mathematical Framework for Cancer Progression using Vector Integration Sites Data (abstract). San Raffaele Scientific Retreat2015.
  10. Serra, R., Filisetti, A., Villani, M., Graudenzi, A., Damiani, C. (2014): Stochastic dynamics of chemical reaction networks in a stylized protocell model (abstract). Submitted toECCS 2014, European Conference on Complex Systems. Lucca, 22-26 September, 2014.
  11. Graudenzi, A., Caravagna, G., De Matteis, G., Antoniotti, M. (2014): Stochastic differentiation and homeostasis in a multiscale model of intestinal crypt dynamics. Accepted for oral presentation at BITS 2014, Eleventh Annual Meeting of the Bioinformatics Italian Society February 26-28, 2014, Rome, Italy.
  12. Olde Loohuis, L., Caravagna, G., Graudenzi, A., Ramazzotti, D., Mauri, G., Antoniotti, M., Mishra, B. (2014): Reconstructing tree-like cancer progression models with a probabilistic causation-based shrinkage estimator. Accepted as a poster at BITS 2014, Eleventh Annual Meeting of the Bioinformatics Italian Society February 26-28, 2014, Rome, Italy.
  13. Damiani, C., Filisetti, A., Graudenzi, A., Villani, M., Serra, R. (2013): Recent developments in research on catalytic reaction networks. In Graudenzi, A., Caravagna, G., Mauri, G., Antoniotti, M. (eds.): EPTCS 130: Proceedings of Wivace 2013 - Italian Workshop on Artificial Life and Evolutionary Computation, DOI: 10.4204/EPTCS.130, ISSN: 2075-2180, http://dx.doi.org/10.4204/EPTCS.130.3.
  14. Caravagna, G., Graudenzi, A., Antoniotti, M., De Matteis, G. (2013): Analysis of the spatial and dynamical properties of a multiscale model of intestinal crypts. In Graudenzi, A., Caravagna, G., Mauri, G., Antoniotti, M. (eds.): EPTCS 130: Proceedings of Wivace 2013 - Italian Workshop on Artificial Life and Evolutionary Computation, DOI: 10.4204/EPTCS.130, ISSN: 2075-2180, http://dx.doi.org/10.4204/EPTCS.130.12.
  15. Serra, R., Filisetti, A., Graudenzi, A., Damiani, C., Villani, M. (2013): A model of protocell based on the introduction of a semi-permeable membrane in a stochastic model of catalytic reaction networks. In Graudenzi, A., Caravagna, G., Mauri, G., Antoniotti, M. (eds.): EPTCS 130: Proceedings of Wivace 2013 - Italian Workshop on Artificial Life and Evolutionary Computation, DOI: 10.4204/EPTCS.130, ISSN: 2075-2180, http://dx.doi.org/10.4204/EPTCS.130.10.
  16. Filisetti, A., Graudenzi, A., Damiani, C., Villani, M., Serra, R. (2013): The role of backward reactions in a stochastic model of catalytic reaction network. In Liò, P., Miglino, O., Nicosia, G., Nolfi, S. and Pavone, M. (eds.) Advances in Artificial Life, ECAL 2013 - Proceedings of the Twelfth European Conference on the Synthesis and Simulation of Living Systems (MIT press), http://dx.doi.org/10.7551/978-0-262-31709-2-ch114.
  17. Graudenzi, A., Caravagna, G., De Matteis, G., Antoniotti, M. (2013): Investigating intestinal crypt homeostasis through multiscale modeling. Accepted for presentation at BITS 2013, Tenth Annual Meeting of the Bioinformatics Italian Society.
  18. Bocicor, I., Caravagna, G., Graudenzi, A., Cava, C., Mauri, G., Antoniotti, M. (2012). Ordering copy number alteration data to analyze tumor progression: a case study of colorectal cancer (abstract and poster). Masseroli, M., Romano, P. and Lisacek, F (eds.): EMBnet.journal Volume 18, Nr. B, Proceedings of NETTAB 2012, Workshop on "Integrated Bio-Search", ISSN: 2226-6089, http://journal.embnet.org/index.php/ embnetjournal/issue/view/73/showToc, p.84-86.
  19. Caravagna, G., Graudenzi, A., Antoniotti, M., Mauri, G., D'Onofrio, A. (2012): Effects of delayed immune-response in tumor immune-system interplay. In Bartocci, E. and Bortolussi, L (eds.): Proceedings of the 1st Int. Workshop Hybrid Systems and Biology (HSB 2012), EPTCS 92, 106-121.
  20. Antoniotti, M., Caravagna, G., Crippa, S., Graudenzi, A., Mauri, G. (2012): GeneStocDiff: A Cytoscape plugin for the generation and the identification of gene regulatory networks describing the stochastic differentiation process (abstract e poster). Accepted forICSB 2012, The 13th International Conference on Systems Biology, 19-23 August 2012, Toronto, Canada.
  21. Graudenzi, A., Caravagna, G., De Matteis, G., Mauri, G., Antoniotti, M. (2012): A multiscale model of intestinal crypts dynamics. In Proc. of the Italian Workshop on Artificial Life and Evolutionary Computation, WIVACE 2012; ISBN: 978-88-903581-2-8.
  22. Filisetti, A., Graudenzi, A. (2012): The influence of different kinetic rates on the dynamics of a simple model of catalytic reaction network. Accepted for the publication on the proceedings of Wivace 2012, Workshop Italiano di Vita Artificiale e Computazione Evolutiva, Parma, 20-21 Febbraio 2012.
  23. Graudenzi, A., De Matteis, G., Alhazov, A., Caravagna, G., Mauri, G., Antoniotti, M. (2011): Multiscale multicellular modeling for the description of intestinal crypt dynamics and the colorectal cancer development (long abstract and poster). Accepted for the publication on the proceedings ofNETTAB 2011 Workshop focused on Clinical Bioinformatics. October 12-14, 2011, Pavia, Italy.
  24. Filisetti, A., Graudenzi, A., Serra, R., Villani, M., De Lucrezia, D., Poli, I. (2011): The role of energy in a stochastic model of the emergence of autocatalytic sets. Accepted for the publication on the proceedings of ECAL 2011, European Conference on Artificial Life.
  25. Filisetti, A., Graudenzi, A., Serra, R., Villani, M., De Lucrezia, D., Poli, I. (2011): The influence of the energetic constraints in a stochastic model of catalytic reaction networks (abstract). Accepted for the presentation at ECCS 2011, European Conference on Complex Systems.
  26. Filisetti, A., Serra, R., Villani, M., Graudenzi, A., Fuchslin, R. M., Poli, I., (2010): The influence of the residence time on the dynamics of catalytic reaction networks of molecules. In Apolloni, B., Bassis, S., Esposito, A., Morabito, C. F., (eds.) Neural Nets WIRN10 - Proceedings of the 20th Italian Workshop on Neural Nets. Frontiers in Artificial Intelligence and Applications, Volume 226, 2011: 243 – 251; ISBN: 978-1-60750-691-1.
  27. Damiani, C., Graudenzi, A., Serra, R., Villani, M., Colacci, A., (2009): On the fate of perturbations in critical random Boolean networks. Proceedings of the European Conference on Complex Systems, ECCS 09; ISBN:0-9554123-1-5.
  28. Damiani, C., Graudenzi, A., Villani, M. (2009): How critical random Boolean networks may be affected by the interaction with others. In Serra, R., Villani, M., Poli, I., (eds.): Artificial Life and Evolutionary Computation - Proceedings of Wivace 08, World Scientific: 259-270; ISBN:978-981-4287-44-9.
  29. Graudenzi, A., Serra. R. (2009): A new model of genetic network: the Gene Protein Boolean Network. In Serra, R., Villani, M., Poli, I., (eds.): Artificial Life and Evolutionary Computation - Proceedings of Wivace 08, World Scientific: 283 – 291 ; ISBN:978-981-4287-44-9.
  30. Graudenzi, A., Serra, R., Villani, M., Damiani, C., Colacci, A, Kauffman, S.A., (2009): Timing of molecular processes in a synchronous Boolean model of genetic regulatory network. Proceedings of the European Conference on Complex Systems, ECCS 09: 87-97; ISBN:0-9554123-1-5.
  31. Serra, R., Graudenzi, A., Villani, M. (2009): Genetic regulatory networks and neural networks. In Apolloni, B., Bassis, S., Marinaro, M. (eds.): New Directions in Neural Networks - 18th Italian Workshop on Neural Networks: WIRN 2008. Frontiers in Artificial Intelligence and Applications, Vol. 193. KBIES book series, IOS Press, Amsterdam: 109-117; ISBN:978-1-58603-984-4.
  32. Serra, R., Villani, M., Damiani, C., Graudenzi, A., Ingrami, P. & Colacci, A. (2009): Investigating cell criticality. In Minati, G., Abram, M., Pessa, E., (eds.): Processes of emergence of systems and systemic properties. Towards a general theory of emergence. World Scientific: 649-657; ISBN:978-981-279-346-1.
  33. Serra, R., Villani, M., Damiani, C., Graudenzi, A., Colacci, A. & Kauffamn, S.A. (2007): Interacting random Boolean networks. In Jost, J., Helbing D., (eds.): Proceedings of ECCS07: European Conference on Complex Systems. CD-Rom, paper #35.
  34. Serra, R., Villani, M., Graudenzi, A., Colacci, A. & Kauffman, S.A. (2007): The influence of the topology of regulatory networks on the distribution of avalanches in gene expression data. In Jost, J., Helbing D., (eds.): Proceedings of ECCS07: European Conference on Complex Systems. CD-Rom, paper #115.
  35. Villani, M., Serra, R., Graudenzi, A. & Kauffman, S.A. (2006): On the distribution of small avalanches in random Boolean networks. In Ruusovori, P., Manninen, T., Huttunen, H., Linne, M-L., Yli-Harja, O., (eds.): Proceedings of the 4th Workshop on computational and systems biology. Tampere (Finland): TICSP: 93-96; ISBN:952-15-1619-4.

Technical reports (English)

  1. De Matteis, G., Graudenzi, A., Antoniotti, M., (2011): Reviewing the existing computational models of intestinal crypts and colorectal cancer. Submitted to Quaderni del Dipartimento, Dipartimento di Informatica, Sistemistica e Comunicazione, Università degli Studi di Milano Bicocca.


Didactics

Academic year 2015/2016

  •  Responsible lecturer: Programming 2(E-learning laboratory), Bachelor Degree in Informatics (Italian Laurea triennale), University of Milan-Bicocca, 1st year. 12 hours, 1 CFU, course code: E3101Q106
  • Responsible lecturer: Information Theory, Master Degree in Informatics (Italian Laurea magistrale), University of Milan-Bicocca, 1st year. 10 hours, 1 CFU, course code: F1801Q122
  • Responsible lecturer: Machine Learning, Master Degree in Informatics (Italian Laurea magistrale), University of Milan-Bicocca, 1st year. 16 hours, 2 CFU, course code: F1801Q134


Address and contacts

Department of Informatics, Systems and Communication

University of Milan Bicocca

Building U14 - Room 1002

Viale Sarca 336 I-20126 Milan (MI) Italy

email: alex.graudenzi [at] unimib.it