英和和英

出典:『Wikipedia』 (2011/05/05 12:08 UTC 版)

英語による解説

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In statistics, a volcano plot is a type of scatter-plot that is used to quickly identify changes in large datasets composed of replicate data . It plots significance versus fold-change on the y- and x-axes, respectively. These plots are increasingly common in omic experiments such as genomics, proteomics, and metabolomics where one often has a list of many thousands of replicate datapoints between two conditions and one wishes to quickly identify the most-meaningful changes. A volcano plot combines a statistical test (e.g., p-value, ANOVA) with the magnitude of the change enabling quick visual identification of those data-points (genes, etc) that display large-magnitude changes that are also statistically significant.