@inproceedings{076ee3fdc5ad43b2b2f251bd91434237,
title = "Simultaneously segmenting multiple gene expression time courses by analyzing cluster dynamics",
abstract = "We present a new approach to segmenting multiple time series by analyzing the dynamics of cluster rearrangement around putative segment boundaries. By directly minimizing information-theoretic measures of segmentation quality derived from Kullback-Leibler (KL) divergences, our formulation reveals clusters of genes along with a segmentation such that clusters show concerted behavior within segments but exhibit significant re- grouping across segmentation boundaries. This approach finds application in distilling large numbers of gene expression profiles into temporal relationships underlying biolog- ical processes. The results of the segmentation algorithm can be summarized as Gantt charts revealing temporal dependencies in the ordering of key biological processes. Ap- plications to the yeast metabolic cycle and the yeast cell cycle are described.",
keywords = "Clustering, KL-divergence, Temporal regulation, Time series segmentation",
author = "Satish Tadepalli and Naren Ramakrishnan and Watson, {Layne T.} and Bhubaneshwar Mishra and Helm, {Richard F.}",
year = "2008",
language = "English (US)",
isbn = "9781848161085",
series = "Series on Advances in Bioinformatics and Computational Biology",
pages = "297--306",
booktitle = "Proceedings of 6th Asia-Pacific Bioinformatics Conference, APBC 2008",
note = "6th Asia-Pacific Bioinformatics Conference, APBC 2008 ; Conference date: 14-01-2008 Through 17-01-2008",
}