Open TranslatorIssueCreator opened 3 months ago
When I performed this query I am unhappy to see that MTOR node (only data mining edges) is way too high in my opinion. 1) First it appears before some paths that contain look-ups from curated databases. 2) it contains only edges that are increase/decrease activity (affected by) while other results below are mixtures with more specific predicates (see CYP2D6) 3) MTOR is a master regulator that could affect many genes (high degree, or high cardinality...etc.) that is certainly what is going on here. (the scoring does not seem to be corrected for the degree). linked to issue #617 but for genes.
to summarize from a user perspective: 1) look ups from text mining should be treated differently than from curated databases 2) predicate specificity should be used to pull up results 3) the score should be corrected by the node degree in the overall graph (even if each ARA correct it at their level that does not guaranty the effect will not be present in the ARS total graph)
from TAQA:
@Rosinaweber - is this kind of ranking change part of the work you're currently doing for this phase and is this a good test case for you? :). thanks!
(ps. if you could assign a sprint that would be icing on the cake!)
Type: Bug Report
URL: https://ui.test.transltr.io/main/results?l=Paroxetine&i=CHEBI:7936&t=3&r=0&q=45f60838-5834-4ccd-a580-e21611cf1124
ARS PK: 45f60838-5834-4ccd-a580-e21611cf1124
Steps to reproduce:
MVP2 with Paroxetine
Screenshots: