A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is
2011 IEEE International Conference on Systems Biology (ISB)
Time-series gene expression data analysis plays an important role in bioinformatics. In this paper, we propose a biclustering method to detect local expression patterns in time-series gene expression data by performing clustering on both gene and time dimensions. Our method aims to find gene subsets which show coherent expression profiles in some time subsets which have a consecutive order in a bicluster. Specifically, our temporal biclustering method is composed of a discretization proceduredoi:10.1109/isb.2011.6033184 fatcat:fqsd6c7fkbca7kpjp3nmjv6gzu