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View Code? Open in Web Editor NEWA Knowledge Graph for Relational Learning On Biological Data
License: Other
A Knowledge Graph for Relational Learning On Biological Data
License: Other
I am interested in using BioKG, however, I would need a version consisting only of CC0, CC BY, CC BY NC and CC BY NC SA. I would definitely have to exclude KEGG and HPA for this reason. Are there any alternative sources to substitute the linking done using these sources?
Hey folks,
First of all, I'd like to thank you for this contribution. Having a unified biomedical KG is an essential resource for research in this domain.
I would like to use BioKG in my work. Specifically, we would like to train a link predictor to perform the task of drug-target interaction prediction and utilise the benchmarks you so thoughtfully include, in order to compare the performance of our DTI approach vs others.
For this, I thought it would be useful to have the BioKG final data (in /data/biokg/
) uploaded to a Neo4j property graphstore, to enable querying for specific benchmarks (using hyper-relations for example: a relation DTI with qualifier (benchmark: 'FDA') or DDI with qualifier (benchmark: MINERAL)). Furthermore, having BioKG as a Neo4j ready graph could increase usability and visibility, so I plan on making it public once I manage to get it done.
The 2 issues I'm facing:
The number of unique entities/relations that I see after loading the .tsv
data in Pandas is different than the ones reported in the paper, so I've been looking into what could've gone wrong.
The way I create the Neo4j graph is as follows:
Following the logic above everything runs smoothly up to the point where I try to load the links that include COMPLEXES + PATHWAYs for which I cannot find any matches for.
If I understand the data model correctly, complex_ids
exist only as part of the LINKS file and do not appear in the properties + metadata files (?).
Which identifiers are the ones that I should use to create the unique Complex
nodes?
Apologies for the lengthy post and for potential inaccuracies on my end.
Minor comment:
A typo I found while reading your documentation:
Line 93 in 92a71e7
The relation should be PROTEIN_DISEASE if I'm not mistaken.
Thank you again for your great contribution! I would greatly appreciate any help :-)
Cheers!
Hi, Thank you for developing BioKG. I'm currently looking into several articles in Biomedical Knowledge Graph and I stumbled upon your work. I can't help but notice that in the BioKG paper, you mentioned Gene Ontology. However, I couldn't find it in this repository. Will there be a plan to introduce it soon? Thanks in advance.
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