Signal-to-noise statistic

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In mathematics the signal-to-noise statistic distance between two vectors a and b with mean values μa and μb and standard deviation σa and σb respectively is:

D_{sn} = {(\mu _a - \mu _b) \over (\sigma _a + \sigma _b)}

This distance is frequently used to identify vectors that have significant difference. One usage is in bioinformatics to locate genes that are differential expressed on microarray experiments [1].

[edit] See also

[edit] Notes

  1. ^ Pomeroy, S.L. et al Gene Expression-Based Classification and Outcome Prediction of Central Nervous System Embryonal Tumors. Nature 415, 436–442.
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