IOS Press Ebooks - Clustering gene expression data with Temporal Abstractions
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Clustering gene expression data with Temporal Abstractions
L. Sacchi, R. Bellazzi, C. Larizza, P. Magni, T. Curk, U. Petrovic, B. Zupan
798 - 802
10.3233/978-1-60750-949-3-798
Studies in Health Technology and Informatics
Volume 107: MEDINFO 2004
Abstract

This paper describes a new technique for clustering short time series comingfrom gene expression data. The technique is based on the labelling of the time series through temporal trend abstractions and a consequent clustering of the series on the basis of their labels. Clustering is performed at three different levels of aggregation of the original time series, so that the results are organized and visualized as a three-levels hierarchical tree. Results on simulated and on yeast data are shown. The technique appears robust and efficient and the results obtained are easy to be interpreted.

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