Publications
Filters: Author is Sacchi, L. [Clear All Filters]
Multivariate Time Series Classification with Temporal Abstractions. Sanibel Island, FL, USA; 2009.
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.
Mining Administrative and Clinical Diabetes Data with Temporal Association Rules. Sarajevo - Bosnia and Hercegovina; 2009.
Mining Healthcare Data with Temporal Association Rules: Improvements and Assessment For a Practical Use.. Verona - Italy; 2009. (Lecture Notes in Artificial Intelligence).
Finding temporal patterns of GO processes in DNA microarray experiments.. Cagliari, Italy; 2008.
Maternal Oct-4 is a potential key regulator of the developmental competence of mouse oocytes. BMC Developmental Biology. 2008;8.
TimeClust: a clustering tool for gene expression time series. Bioinformatics. 2008;24(3):430-2.
Temporal abstraction for feature extraction: A comparative case study in prediction from intensive care monitoring data. Artificial Intelligence in Medicine. 2007;41.
Data Mining with Temporal Abstractions: Learning Rules from Time Series. Data Mining and Knowledge Discovery. 2007;15.
Inferring gene regulatory networks by integrating static and dynamic data. International Journal of Medical Informatics. 2007;76(Suppl 3):S462-75.
Precedence Temporal Networks to represent temporal relationships in gene expression data. Journal of Biomedical Informatics. 2007;40.
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.
TA-clustering: Cluster analysis of gene expression profiles through Temporal Abstractions. International Journal of Medical Informatics. 2005;74:505-17.

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