Home      FAQ      Help   
  
The signal-to-noise (SNR) metric
Question
ID
110
Category
Qlucore Omics Explorer
  Analysis
Date Created
2015-08-19 08:48:45
Date Updated
2015-08-19 08:53:13
What is the definition of the SNR metric used e.g. in the GSEA workbench in Qlucore Omics Explorer?
Answer
When selecting SNR as the metric in the GSEA Workbench in Qlucore Omics Explorer the user also specifies a sample annotation and a group in that annotation. If we call the selected group A and put the remaining sample groups into a group common group we call B, SNR is then computed for each variable x as

SNR(x) = (mean(x in A) - mean(x in B)) / (std(x in A) + std(x in B))

where std is the standard deviation.

So essentially the "signal" is the difference in mean value of the measured variable between between the two groups. While the "noise" is the sum of the variation of the measured variable in the two groups. Thus if the group variability is high for a given variable, the signal (group mean value difference) needs to be high in order not to drown in the random variations of the variable over the samples.
Related articles
Was this information helpful?
 
Back to Search Results