Pattern recognition in biological time series
CAEPIA'11 Proceedings of the 14th international conference on Advances in artificial intelligence: spanish association for artificial intelligence
Hybrid method for the analysis of time series gene expression data
Knowledge-Based Systems
Computer Methods and Programs in Biomedicine
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Summary: TimeClust is a user-friendly software package to cluster genes according to their temporal expression profiles. It can be conveniently used to analyze data obtained from DNA microarray time-course experiments. It implements two original algorithms specifically designed for clustering short time series together with hierarchical clustering and self-organizing maps. Availability: TimeClust executable files for Windows and LINUX platforms can be downloaded free of charge for non-profit institutions from the following web site: http://aimed11.unipv.it/TimeClust. Contact:paolo.magni@unipv.it or for software support timeclust@aimed11.unipv.it Supplementary information: A simple user's guide (example.pdf) is available in the download area together with two trial data sets.