Publications

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2009
Zuccotti M, Merico V, Sacchi L, et al. "Oct-4 regulates the expression of Stella and Foxj2 at the Nanog locus: implications for the developmental competence of mouse oocytes." Human Reproduction. 2009;24(9):2225-37.
Batal I, Sacchi L, Bellazzi R, Hauskrecht M. Multivariate Time Series Classification with Temporal Abstractions. Sanibel Island, FL, USA; 2009.
Concaro S, Sacchi L, Cerra C, Stefanelli M, Fratino P, Bellazzi R. Temporal Data Mining for the Assessment of the Costs Related to Diabetes Mellitus Pharmacological Treatment..; 2009.
Batal I, Sacchi L, Bellazzi R, Hauskrecht M. A Temporal Abstraction Framework for Classifying Clinical Temporal Data..; 2009.
Concaro S, Sacchi L, Cerra C, Fratino P, Bellazzi R. Mining Healthcare Data with Temporal Association Rules: Improvements and Assessment For a Practical Use.. Verona - Italy; 2009. Lecture Notes in Artificial Intelligence.
Concaro S, Sacchi L, Cerra C, Bellazzi R. Mining Administrative and Clinical Diabetes Data with Temporal Association Rules. Sarajevo - Bosnia and Hercegovina; 2009.
2008
Concaro S, Sacchi L, Cerra C, Fratino P, Bellazzi R. Temporal Data Mining for the Analysis of Administrative Healthcare Data.; 2008.
Sacchi L, Nuzzo A, Decontardi F, Bellazzi R. Finding temporal patterns of GO processes in DNA microarray experiments.. Cagliari, Italy; 2008.
Zuccotti M, Merico V, Sacchi L, et al. "Maternal Oct-4 is a potential key regulator of the developmental competence of mouse oocytes." BMC Developmental Biology. 2008;8.
Magni P, Ferrazzi F, Sacchi L, Bellazzi R. "TimeClust: a clustering tool for gene expression time series." Bioinformatics. 2008;24(3):430-432.
2007
Verduijn M, Sacchi L, Peek N, Bellazzi R, De Jonge E, de Mol B AJM. "Temporal abstraction for feature extraction: A comparative case study in prediction from intensive care monitoring data." Artificial Intelligence in Medicine. 2007;41.
Sacchi L, Larizza C, Combi C, Bellazzi R. "Data Mining with Temporal Abstractions: Learning Rules from Time Series." Data Mining and Knowledge Discovery. 2007;15.
Sacchi L, Bellazzi R, Quaglini S, Sinico A, Moroni G. Temporal Rules to Predict Renal Flares in Lupus Nephritis. Combi C, Tucker A, eds.; 2007.
Ferrazzi F, Magni P, Sacchi L, Nuzzo A, Petrovic U, Bellazzi R. "Inferring gene regulatory networks by integrating static and dynamic data." International Journal of Medical Informatics. 2007;76(Suppl 3):S462-75.
Sacchi L, Larizza C, Magni P, Bellazzi R. "Precedence Temporal Networks to represent temporal relationships in gene expression data." Journal of Biomedical Informatics. 2007;40.
Bellazzi R, Ferrazzi F, Sacchi L. "Metodi avanzati per il clustering di dati di espressione genica: integrazione di conoscenza a priori e analisi di serie temporali." In: Bellazzi R, Bicciato S, Cavalcanti S, Cobelli C, Toffolo G, eds.; 2007.
2006
Sacchi L, M.Verduijn, Peek N, De Jonge E, de Mol B, Bellazzi R. Describing and modeling time series based on qualitative temporal abstraction.; 2006.
Sacchi L, Larizza C, Magni P, Bellazzi R. Precedence temporal networks for the representation of temporal relationships in gene expression data.; 2006.
Ferrazzi F, Magni P, Sacchi L, Bellazzi R. Inferring gene expression networks through static and dynamic data integration. Vol. 124. Hasman A, Haux R, van der Lei J, Clercq DE, France RFH, eds.; 2006.
Sacchi L, Curk T, Demsar J, Shaulsky G, Zupan B, Bellazzi R. TA-based classification of transcriptional phenotypes.; 2006.
2005
Verduijn M, Dagliati A, Sacchi L, et al. IC prediction from patient monitoring data: a comparison of two temporal abstraction procedures.; 2005.
Bellazzi R, Amici R, Ferrazzi F, Magni P, Sacchi L, Sotgiu S. Learning Gene Regulatory Networks with an Intelligent Data Analysis Approach: An Application to the Yeast Cell Cycle. Holmes JH, Peek N, eds.; 2005.
Sacchi L, Bellazzi R, Larizza C, et al. "TA-clustering: Cluster analysis of gene expression profiles through Temporal Abstractions." International Journal of Medical Informatics. 2005;74.
Sacchi L, Bellazzi R, Porreca R, Larizza C, Magni P. Precedence Temporal Networks from Gene Expression Data. Tsymbal A, Cunningham P, eds.; 2005.
Sacchi L, Bellazzi R, Larizza C, Porreca R, Magni P. Learning Rules with Complex Temporal Patterns in Biomedical Domains. Miksch S, et al, Springer-Verlag Berlin Heidelberg, eds.; 2005.