When the differential network analysis finishes, the "Analysis running..." warning will be replaced by the foolowing figure and the results are shown on the "Analysis results" tab.

##### Results table

The results table has the following format:

You can save the results as a CSV or R data file:

- CSV: a comma-separated text file, containing the execution parameters and the results table. It can be opened with a spreadsheet software
- R data: a file that contains two R variables: a data frame called "results" (the differential network analysis results), and a table called "parameters" (the parameters used in the analysis). It can be loaded using the "load" command in the R console.

##### Missing p-values

The differential network analyses may fail when empty graphs are inferred from the expression data. Missing p-values are likely to happen for unweighted small graphs.

If you are using the "Spectral entropy test", the "Spectral density test", or the "Degree distribution test", setting the bandwidth to Silverman's criteria will avoid the missing p-values.

The missing values also can appear because the parameters used are too restrictive. The "1-q-value" as association measure and 0.95 as threshold value are parameters used to datasets with many biological samples. Suppose you are using these parameters to a dataset with few biological samples (less than 30). In that case, you will get great chances to produce empty networks and consequently missing p-values on results. It results in missing p-values manly in "Spectral Distribution test", "Spectral entropy test", and "Degree distribution analysis".