sigven / oncoEnrichR

Explore the cancer relevance of your gene list
https://sigven.github.io/oncoEnrichR/
MIT License
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Cancer gene rank function #34

Open dpolychr opened 1 month ago

dpolychr commented 1 month ago

Hey @sigven,

Hope all is well :-)

I was wondering if it's possible to run cancer gene rank: https://sigven.github.io/oncoEnrichR/articles/cancer_gene_rank.html

as a stand-alone function for all genes?

Interested in receiving cancer gene associations (pancan and HCC) for all genes

Thanks, Dimitris

sigven commented 1 month ago

Hey Dimitris,

Hope all is well on your side too! Yeah, your suggestion makes sense, and this indeed doable, i'll get on to it next week.

kind regards, Sigve

sigven commented 1 week ago

Hey Dimitris,

Check out the new version (1.5.2), it contains a dedicated cancer rank function. Looking at the underlying evidence data from the Open Targets Platform, i see that some tumor sites/types have considerably more evidence than others, so for many sites, note that evidence may be scarce (i.e. no association evidence for the majority of genes).

Either way, let me know if the function works out for you, or if you have additional suggestions etc.

best, Sigve

dpolychr commented 1 hour ago

Thanks so much @sigven, very useful works really nicely :) I might have missed it but how is the no/non-significant cancer association with a specific tumor type determined? Maybe worth including this in the R Documentation

sigven commented 37 minutes ago

Good point @dpolychr! I will add this later on. Basically, to limit noisy evidence/association, there is a requirement that any association considered between a gene and a phenotype term (belonging to a tumor type/site), needs to be supported by at least two distinct types of evidence (e.g. data from literature mining and animal model experiments), and that the association score exceeds 0.05