Original paper
TTCA: an R package for the identification of differentially expressed genes in time course microarray data
Abstract
The analysis of microarray time series promises a deeper insight into the dynamics of the cellular response following stimulation. A common observation in this type of data is that some genes respond with quick, transient dynamics, while other genes change their expression slowly over time. The existing methods for detecting significant expression dynamics often fail when the expression dynamics show a large heterogeneity. Moreover, these...
Paper Details
Title
TTCA: an R package for the identification of differentially expressed genes in time course microarray data
Published Date
Jan 14, 2017
Journal
Volume
18
Issue
1
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Notes
History