Here you will find descriptive information about the matrix of pathway values.

• Path values: You can download the matrix of path values by clicking on Path values.
• Heatmap: A heatmap is a graphical representation of the values of a matrix. A not-supervised clustering is performed on the data per columns(samples). A good separation between the two colors of the upper bar of the heatmap indicates that the differences between the two groups are big enough to discriminate between them.
• PCA: A Principal Components Analysis is performed in order to see if the matrix contains information enough to separate between the two groups.
• Path significance: Ordered table of pathway significance. More significant pathways are displayed in the upper part of the table. For each pathway, the following information is shown:
  • path/term: Code identifying the path consisting in the name of the pathway to which it belongs, the initial node (if Decompose paths option was selected) and the effector (last) node of the path.
  • UP/DOWN: Up when the path is up-regulated in the disease case, DOWN otherwise.
  • statistic: Statistic of the of the statistic test.
  • p.value: P-value of the statistic test.
  • FDRp.value: Adjusted p-value of the statistic test using the FDR method.