@inbook{a5e0f2fe497540f8b0759b755f93c767,
title = "Biclustering of time series microarray data",
abstract = "Clustering is a popular data exploration technique widely used in microarray data analysis. In this chapter, we review ideas and algorithms of bicluster and its applications in time series microarray analysis. We introduce first the concept and importance of biclustering and its different variations. We then focus our discussion on the popular iterative signature algorithm (ISA) for searching biclusters in microarray dataset. Next, we discuss in detail the enrichment constraint time-dependent ISA (ECTDISA) for identifying biologically meaningful temporal transcription modules from time series microarray dataset. In the end, we provide an example of ECTDISA application to time series microarray data of Kaposi's Sarcoma-associated Herpesvirus (KSHV) infection.",
keywords = "Bicluster, Clustering, Enrichment constrained, Iterative signature algorithm, Microarray, Temporal module, Time dependent, Time series",
author = "Jia Meng and Yufei Huang",
year = "2012",
doi = "10.1007/978-1-61779-400-1_6",
language = "English",
isbn = "9781617793998",
series = "Methods in Molecular Biology",
pages = "87--100",
editor = "Junbai Wang and Tianhai Tian and Tan, {Aik Choon}",
booktitle = "Next Generation Microarray Bioinformatics",
}