Dear Leite, Thank you so much for your great help and guide. Your guides helped me a lot. As you suggested, I used STRING db with my parameters (only experiment, and confidence score of 0.4). I then exported TSV: tab separated values and imported into cytoscape (File -> Import -> Network from file...). However, in the created network in cytoscape, edges thickness is not shown by the confidence score of each edge (as it is shown in String db networks) which is the feature that I really need to make on my cytoscape network.
Also, I tried to change node shape to circle (Style -> Node -> Shape), but it seems that it does not have circle format for node shape, and it has Ellipse. But I need circle shape like String db.
Another feature that I really need to make on my cytoscape network, is to have node labels (protein names) exactly like String db, which each node name is written over a transparent box such that the edges under these transparent text boxes are also shown well (i.e. they are not hidden by the text box of protein names).
I will be very grateful if you can also give me your valuable help in the above issues. Many thanks.










Dear @F. Golestan
From my experience working with network (PPIN), I advise you to import data from cytoscape so you will have more flexibility to work by changing colors, font size, node color and whatever you want to change your layout.
With regards to DAVID, you can download GO result and build this graph using excel if you have no experience with R.
More information about cytoscape
https://manual.cytoscape.org/en/stable/
A: Cytoscape network of upregulate and downregulate transcription factors: how to d
A: How to multiple apply continuous mapping and Discrete mapping each column in Cyt
Dear Leite, Many thanks for your guide. Actually, before, I was using StringApp for pulling ppi networks. But, firstly, by using StingApp, I can not choose to retrieve only experimentally validated interactions (as it is possible in original String database). Secondly, I do not know how to detect "direct binding of protein X" and "indirect protein X association". Thirdly, I also do not know how to define sets and then map them to node fill colors (yellow and green).
Also, for creating this interaction network, do I need expression values or by having only protein names I can make such network with these features?
Also, is there any cytoscape app that I can obtain -log10 (corrected p values) for enriched GO biological process and KEGG pathways? Then, I can use them to make bar charts in Excel or R. I also tried ClueGO, but It does not calculate -log10 (corrected p values) which I need.
Sorry for asking several questions as I highly need help and guide. Thank you so much.