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This paper presents a broad survey of analysis methods that have been found useful in the detection and treatment of outliers, or “anomalous data points,” that often arise in large datasets. One source of these data anomalies is method outliers like “gross measurement errors” that are of no inherent biological interest, but a second source is biological outliers, which may be of considerable interest,...
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