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Step 1. New Process or Result Inquiry
Start new process or see the previous result. For this case study, we used the sample data, GDS3257-Lung adenocarcinoma samples (see below for more details).

Step 2. Run drug analysis
You will see the list of signaling pathways highly correlated with your input signatures. Click the analysis button on the bottom. Combinatorial drug analysis will give you the single drug ranking as well, and it takes a couple of hours to process. As soon as the process is done, we will send you an email. Then visit CDA and check the result using "Result Inquiry".

Step 3. Single Drug Result Table view
We present the results in two different formats: a table view of scores and experimental details, and a network view to visualize relationships between signaling pathway entities and known drugs, proteins and diseases. phExplorer, a graphical data visualisation software program, allows users to browse the complex relationships in an interactive and dynamic manner, providing clues to how chemicals work synergistically on certain signaling pathways.

Click "Pathway Network" button for details on pathways.

Click "Detail" button for more details about the score.

Step 4. Pathway Network View
As you can see in Step 2, Fulvestrant-treated expression data showed similar patterns with input signatures (lung adenocarcinoma) in three different signaling pathways. Click "phExplorer" button on each Pathway and see their expression similarities.

Step 5. Signaling Pathways and Compound
After that, you must search the chemical in phExplorer and add it on network (Please read "How to use phExplorer").
It seems that there is no known connection between "Fulvestrant" and three pathways.
Let's expand relationships of "Fulvestrant" by right click on a node. Let's see the related proteins and diseases of it. Now we can see they can be linked by Breast Neoplasms. Just like this, I'm sure we can find indirect connections if we expand the network one step further.