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 .

See also

• Distance
• Uniform norm
• Manhattan distance

Notes

Gene Expression-Based Classification and Outcome Prediction of Central Nervous System Embryonal Tumors