Publications

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M
Marsico G, Agresti A, Bianchi ME, Magni P. Evaluation of mathematical models to assess transcription factors binding properties in vivo by FRAP.; 2008.
Malovini A, Ferrazzi F, Nuzzo A, Puca AA, Bellazzi R. Learning Bayesian networks from genotypic data for phenotype forecasting: a gene-based approach. Pisa, Italy; 2008.
T
Terranova N, Magni P. Evaluation of different techniques for model parameter estimation: MATLAB implementation and numerical issues.; 2008.
B
Bocassini M, Magni P. Definition and implementation of a procedure to obtain up-todate non redundant user defined databases of DNA sequences for the identification of splicing site prediction models in human.; 2008.
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Tiengo A, Barbarini N, Troiani S, Rusconi L, Magni P. Protein identification by peptide mass fingerprinting: a perl procedure. Bologna, Italy: Pàtron; 2008. (Congresso Nazionale di Bioingegneria 2008).
P
Pasotti L, Giorgino T, Magni P. Movement detection from a wearable system: a deconvolution-based approach.; 2008.
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Ferri E, Pramparo T, Magni P. SPAN-CGH: a tool for array CGH data analysis and visualization.; 2008.
B
Barbarini N, Magni P. An algorithm for the extraction of isotopic distributions from proteomic mass spectra. Pisa; 2008.
F
Ferrazzi F, Rinaldi S, Parikh A, Shaulsky G, Zupan B, Bellazzi R. Population models to learn Bayesian networks from multiple gene expression experiments.; 2008.
S
Simeone A, Bosotti R, Magni P. A new algorithm to summarize microarray probe levels taking into account the day-to-day variability.; 2008.
R
Raimondi S, Barbarini N, Mangione P, Esposito G, Ricagno S, Bolognesi M, et al. The two tryptophans of β2-microglobulin have distinct roles in function and folding and might represent two independent responses to evolutionary pressure. BMC Evolutionary Biology. 2011;11:159.
Ramoni M. Anytime Influence Diagrams. Proc. of IJCAI-95 Workshop. 1995.
Ramoni M. Ignorant Influence Diagrams. Proc. of IJCAI 95. 1995.
Ramoni M, Riva A, Stefanelli M, Patel V. An Ignorant Belief Network to Forecast Blood Glucose Concentration from Clinical DataBase. Artificial Intelligence in Medicine. 1995;7.
Ramoni M, Riva A, Stefanelli M, Patel V. Medical Decision Making using Ignorant Influence Diagram. Barahona P, Stefanelli M, Wyatt J, editors.; 1995. (Proc. of AIME-95).
Rebuzzini P, Pignalos D, Mazzini G, Liberto DR, Coppola A, Terranova N, et al. Mouse embryonic stem cells that survive gamma-rays exposure maintain pluripotent differentiation potential and genome stability. Journal of Cellular Physiology. 2011.
Rindi G, Patrini C, Nauti A, Bellazzi R, Magni P. Three thiamine analogues differently alter thiamine transport and metabolism in nervous tissues: an in vivo kinetic study using rats. Metabolic Brain Disease. 2003;18:245-63.
Riva A, Montani S, Larizza C, Fiocchi S, D'Annunzio G, Lorini R, et al. A WWW-based System for Diabetic Management: Technical and Clinical Infastructure for Patients and Physicians.; 1998.
Riva A, Bellazzi R. Intelligent Analysis Techniques for Diabetes Data Time Series,. Lasker G, Liu X, editors.; 1995.
Riva A, Nuzzo A. High-throughput Annotation of Genomic Datasets with Genephony.; 2007.
Riva A, Bellazzi R, Stefanelli M. Distributed AI Technologies for Patient Management.; 1996.
Riva A, Bellazzi R, Montani S. A Knowledge-Based Web Server as a Development Environment for Web-based Knowledge Servers.; 1998.
Riva A, Bellazzi R. High level control strategies for diabetes therapy. Barahona P, Stefanelli M, Wyatt J, editors. Pavia (Italy); 1995. (Proceedings of AIME-95).
Riva A, Ramoni M. Lispweb: a specialized HTTP server for distributed AI applications. Computer Networks and ISDN Systems. 1996;27.
Riva A, Bellazzi R, Stefanelli M, Lanzola G. A Methodology for the Development of Knowledge-based Medical Applications on the World Wide Web. Artificial Intelligence in Medicine. 1998.