This chapter discusses the statistical analysis of microarray time course data, with a focus on
developmental time course experiments. The methods reviewed here are generally suitable …

This article describes methods used to evaluate mRNA expression patterns on microarrays
and their application in circadian biology. With the intention of complementing rather than …

Motivation: Microarray experiments are now routinely used to collect large-scale time series
data, for example to monitor gene expression during the cell cycle. Statistical analysis of this …

Microarrays are promising tools that are increasingly being applied to the study of circadian
rhythms. The large and complex datasets they generate, however, mean they require a new …

One frequent application of microarray experiments is in the study of monitoring gene
activities in a cell during cell cycle or cell division. High throughput gene expression time …

Background Time-course microarray experiments are widely used to study the temporal
profiles of gene expression. Storey et al.(2005) developed a method for analyzing time …

Background An important component of time course microarray studies is the identification
of genes that demonstrate significant time-dependent variation in their expression levels …

Time course studies with microarray techniques and experimental replicates are very useful
in biomedical research. We present, in replicate experiments, an alternative approach to …

In the past decade, the availability of microarray technology for monitoring the expression of
thousands of genes simultaneously has enhanced the ability of scientists to probe …

Methods for gene set analysis test for coordinated changes of a group of genes involved in
the same biological process or molecular pathway. Higher statistical power is gained for …