Signal-to-noise statistic

Signal-to-noise statistic

In mathematics the signal-to-noise statistic distance between two vectors "a" and "b" with mean values mu _a and mu _b and standard deviation sigma _a and sigma _b 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 [Pomeroy, S.L. et al [http://www.broad.mit.edu/mpr/CNS/ Gene Expression-Based Classification and Outcome Prediction of Central Nervous System Embryonal Tumors] . Nature 415, 436–442.] .

ee also

*Distance
*Uniform norm
*Manhattan distance

Notes


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