Detecting coherent local patterns from time series gene expression data by a temporal biclustering method

Ji-Bin Qu, Xiang-Sun Zhang, Ling-Yun Wu, Yong Wang, Luonan Chen
2011 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 procedure
more » ... d a follow-up sequence alignment, which can identify similar local expression profiles and further reveal coherent local relations such as complementary and timelagged coherence. We apply our method to yeast cell cycle data, and find several biologically important biclusters.
doi:10.1109/isb.2011.6033184 fatcat:fqsd6c7fkbca7kpjp3nmjv6gzu