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Batal I, Sacchi L, Bellazzi R, Hauskrecht M. Multivariate Time Series Classification with Temporal Abstractions. Sanibel Island, FL, USA; 2009.

Batal I, Sacchi L, Bellazzi R, Hauskrecht M. A Temporal Abstraction Framework for Classifying Clinical Temporal Data..; 2009.

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, editors.; 2007.

Bellazzi R, Bicciato S, Cobelli C, Camillo DB, Ferrazzi F, Magni P, et al. Analisi di dati di DNA microarray: fondamenti, selezione di geni, classificazione. In: Cerutti S, Marchesi C, editors.; 2004.

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, editors.; 2005.

Bellazzi R, Bicciato S, Cobelli C, Camillo DB, Ferrazzi F, Magni P, et al. Analisi di dati di DNA microarray: reti di regolazione. In: Cerutti S, Marchesi C, editors.; 2004.

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Ciccarese P, Mazzocchi S, Ferrazzi F, Sacchi L. Genius: a new tool for gene networks visualization. Zupan B, Holmes JH, editors.; 2004.

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.

Concaro S, Sacchi L, Cerra C, Fratino P, Bellazzi R. Temporal Data Mining for the Analysis of Administrative Healthcare Data.; 2008.

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, Stefanelli M, Fratino P, Bellazzi R. Temporal Data Mining for the Assessment of the Costs Related to Diabetes Mellitus Pharmacological Treatment..; 2009.

Curk T, Zupan B, Petrovic U, Demsar J, Shaulsky G, Sacchi L, et al. Machine learning for functional genomics: some experiments with supervised learning on microarray dataset.; 2003.

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Ferrazzi F, Magni P, Sacchi L, Nuzzo A, Petrovic U, Bellazzi R. Inferring gene regulatory networks by integrating static and dynamic data. Si. 2007;76(Suppl 3):S462-75.

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, editors.; 2006.

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Magni P, Ferrazzi F, Sacchi L, Bellazzi R. TimeClust: a clustering tool for gene expression time series. Bioinformatics. 2008;24(3):430-2.

Merico V, Zuccotti M, Carpi D, Baev D, Mulas F, Sacchi L, et al. The genomic and proteomic blueprint of mouse megakaryocytes derived from embryonic stem cells. J Thromb Haemost. 2012;10(5):907-15.

Mulas F, Zagar L, Sacchi L, Garagna S, Zuccotti M, Bellazzi R, et al. Development nomograms: prediction of stem cell differentiation stage from genome-wide expression data.; 2010. (IDAMAP 2010).

Mulas F, Zagar L, Sacchi L, Garagna S, Shaulsky G, Zuccotti M, et al. Assessing stem cells developmental stage from genome-wide expression data.; 2011. (Summit on Translational Bioinformatics (TBI)).

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Panzarasa S, Quaglini S, Sacchi L, Cavallini A, Micieli G, Stefanelli M. Data mining techniques for analyzing stroke care processes.. Vol Stud Health Technol Inform.; 2010. (Medinfo 2010; vol Stud Health Technol Inform.).

Porta C, Paglino C, Amici DM, Quaglini S, Sacchi L, Imarisio I, et al. Predictive value of baseline serum vascular endothelial growth factor and neutrophil gelatinase-associated lipocalin in advanced kidney cancer patients receiving sunitinib. Si. 2010;77(9):809-15.

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