Replies: 1 comment 2 replies
-
Hey @safrikDut, Those two parameters are for filtering the active subsetwork search results, i.e. the list of active subnetworks, each of which is assigned a score. The "score quantile threshold" filters the list keeping the subnetworks with score over the given quantile (default = 0.8, set to -1 for disabling this). The "significant gene threshold" is the threshold for the minimum proportion of significant (input) genes in a given subnetwork (Default = 0.02), e.g., if the threshold is 0.02, the number of genes in a subnetwork is 100, and the number of input genes within the subnetwork is 1, the subnetwork is discarded (minimum required is 100 * 0.02 = 2) Hope this helps, |
Beta Was this translation helpful? Give feedback.
-
Hi!
Thanks a lot for PathifindR, I am using it a lot for my project as I have to deal with two RNA-seq datasets. I am having a hard time trying to understand what are the parameters "score quantile threshold" and "significant gene threshold". I mean, I have read the description several times and in the paper from the package is also not really explicit for non-statiticians. Could someone explain them in a easier/biological way?
Thanks a lot for your help!!!
Beta Was this translation helpful? Give feedback.
All reactions