STEM: a tool for the analysis of short time series gene expression data

Volume: 7, Issue: 1, Pages: 191 - 191
Published: Apr 5, 2006
Abstract
Time series microarray experiments are widely used to study dynamical biological processes. Due to the cost of microarray experiments, and also in some cases the limited availability of biological material, about 80% of microarray time series experiments are short (3–8 time points). Previously short time series gene expression data has been mainly analyzed using more general gene expression analysis tools not designed for the unique challenges...
Paper Details
Title
STEM: a tool for the analysis of short time series gene expression data
Published Date
Apr 5, 2006
Volume
7
Issue
1
Pages
191 - 191
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