Outlier Detection for Microarray Data

It is important to estimate the impact of protocol changes on expression profiles based on microarray data and eventually on classification accuracy. This estimation should be based on experiments with replicates. Therefore, it is important to detect outliers in such experiments. This paper proposes an outlier detection algorithm for replicate microarray experiments.