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- Title
Analyzing time series gene expression data.
- Authors
Bar-Joseph, Ziv
- Abstract
Time series expression experiments are an increasingly popular method for studying a wide range of biological systems. However, when analyzing these experiments researchers face many new computational challenges. Algorithms that are specifically designed for time series experiments are required so that we can take advantage of their unique features (such as the ability to infer causality from the temporal response pattern) and address the unique problems they raise (e.g. handling the different non-uniform sampling rates).
- Publication
Bioinformatics (Oxford, England), 2004, Vol 20, Issue 16, p2493
- ISSN
1367-4803
- Publication type
Journal Article
- DOI
10.1093/bioinformatics/bth283