Description of the problem:

Number of classes: 2
Number of genes: 54675
Number of genes that passed filtering criteria: 44416
Type of univariate test used: Two-sample T-test
Column of the Experiment Descriptors sheet that defines class variable : class
Multivariate Permutations test was computed based on 1000 random permutations

Nominal significance level of each univariate test: 0.001
Confidence level of false discovery rate assessment: 90 %
Maximum allowed number of false-positive genes: 10
Maximum allowed proportion of false-positive genes: 0.01

Summary of Results:

Number of genes significant at 0.001 level of the univariate test: 4582
Probability of getting at least 4582 genes significant by chance (at the 0.001 level) if there are no real differences between the classes: 0

Genes which discriminate among classes:

Table 1 - Sorted by p-value of the univariate test.
The first 4582 genes are significant at the nominal 0.001 level of the univariate test
With probability of 90 % the first 2479 genes contain no more than 10 false discoveries.
With probability of 90% the first 3367 genes contain no more than 1% of false discoveries.