Open bravedu01 opened 3 years ago
Hi @bravedu01
Thanks a lot for the feedback!
You can find the pathway structure in Reactome's download area: https://reactome.org/download-data
The direct link to the pathway relations is here: https://reactome.org/download/current/ReactomePathwaysRelation.txt
We will test whether we can integrate this somehow into the ReactomeGSA
package.
Kind regards, Johannes
Hello,
Is there any improvement in this?
I have the following DF and I would like to add the pathway hierarchy to it:
head(pathway2name)
PATHID PATHNAME
<char> <char>
1: R-HSA-1059683 Homo sapiens: Interleukin-6 signaling
2: R-HSA-109581 Homo sapiens: Apoptosis
3: R-HSA-109582 Homo sapiens: Hemostasis
4: R-HSA-109606 Homo sapiens: Intrinsic Pathway for Apoptosis
5: R-HSA-109703 Homo sapiens: PKB-mediated events
6: R-HSA-109704 Homo sapiens: PI3K Cascade
Also, @jgriss you provided a link to the pathway relations, but I don't really get if those are the pathways with their hierarchies.
Thank you very much,
Julia
Pathway analysis become hard to interpret when we obtain a tons of differential pathways. In this scenario, grouping the pathways into different categories and showing the top n in each category may be a good choice.
This is because a subset of genes can be shared by many similar pathways such as some metabolic pathways. That means we could group these pathways to simply the pathway description and make people easy to understand.
For an easier reachable source for the analysis in R, a table of pathway hierarchy would be highly helpful to annotate which category(metabolism, inflammation) a pathway belongs to. Do you have a link to download this table? Thanks a lot