Genome Technology Center

A New Statistical Method for Time Course Microarray Experiments

3D graph Monitoring the behavior of gene expression over time is important and will be a common experimental design in the future. We developed a general statistical significance method for detecting temporal differential expression.

Impact/Significance

Personnel

SGTC
Wenzhong Xiao
Ronald W. Davis

U Washington
John Storey and group

Glue Grant Consortium

Accomplishments

We developed a general method for statistical inference of time course microarray data. This method is applicable to data of both independent and longitudinal samplings, and automatically handles missing data and difference of sampling time points.

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