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In this paper, we address the problem of detecting outlier samples with highly different expression patterns in microarray data. Although outliers are not common, they appear even in widely used benchmark data sets and can negatively affect microarray data analysis. It is important to identify outliers in order to explore underlying experimental or(More)
After an election campaign, it is important to identify events that marked change points in voter support. Pre-election polls provide a measure of the state of voter support at points in time during the election campaign. However, polling data is difficult to analyze because it is sparse and comes from multiple sources, which can be individually biased. We(More)
After an election campaign, it is important to identify events that marked change points in voter support. Pre-election polls provide a measure of the state of voter support at points in time during the election campaign. However, polling data is difficult to analyze because it is sparse and comes from multiple sources, which can be individually biased. In(More)
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