What statistical tests does Scaffold use to validate data?
There are several statistical tests you can apply to your data in Scaffold for enhanced organization: Fold change, CV, T-Test, ANOVA, and Fisher’s Exact Test. For two biosamples, you can apply the fold change, which simply calculates the fold change difference in terms of spectrum counts. If you have three biosamples, you can apply the coefficient of variance, which is expressed as a percentage. Both of these examples don’t actually involve using Scaffold’s categories. When you have at least two categories, each with at least one biosample and one category having at least two biosamples, you can apply the T-Test. More information on this statistical test can be found here. Now if you have at least three categories, and at least one of these categories has at least two biosamples, you can apply the most robust test Scaffold offers, the Analysis of Variance (ANOVA) test. Finally, the newest test Scaffold offers, introduced in Scaffold 3 in 2010, is the Fisher’s Exact test, similar to the
