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Alignment and classification of time series gene expression in clinical studies

By Tien-ho Lin, Naftali Kaminski and Ziv Bar-Joseph


Motivation: Classification of tissues using static gene-expression data has received considerable attention. Recently, a growing number of expression datasets are measured as a time series. Methods that are specifically designed for this temporal data can both utilize its unique features (temporal evolution of profiles) and address its unique challenges (different response rates of patients in the same class)

Topics: Ismb 2008 Conference Proceedings 19–23 July 2008, Toronto
Publisher: Oxford University Press
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Provided by: PubMed Central

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