Created
April 8, 2022 06:47
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Loading the GI50 of NCI60 into neo4j
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| // CSV file can be downloaded here: | |
| // https://wiki.nci.nih.gov/download/attachments/147193864/GI50.zip?version=2&modificationDate=1649214698000&api=v2 | |
| LOAD CSV WITH HEADERS FROM 'file:///GI50.csv' AS row | |
| MERGE (chem:Chemical {nsc: toInteger(row.NSC)}) | |
| MERGE (cell:CellLine {name: row.CELL_NAME}) | |
| MERGE (dis:Disease {name: row.PANEL_NAME}) | |
| WITH chem, cell, dis, row | |
| MERGE (chem)-[:GI50 {concentration: row.AVERAGE, research: "NCI60", unit: row.CONCENTRATION_UNIT, experiment_id: row.EXPID, count: row.COUNT}]->(cell) | |
| MERGE (cell)-[:CELL_LINE_OF]->(dis); |
I don't think it makes sense to create that benchmark, perhaps as a description of a learning experience, but I guess you have better things to spend your time on. (we have docs/courses on graphacademy that explain these things)
You might have even used our data import tool http://data-importer.graphapp.io/
If you want to try it here is a model + csv file that can be loaded from the "..." top right.
https://drive.google.com/file/d/1EPFRGPhvDSoE9hKGa05-iPHq2fztBQxd/view?usp=sharing
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I think creating experiments would make sense, I stayed away from these question till I have more experience to set it up clearer. I want to add graph datascience (similarity and community detection) first and then revisit the problem again with more experience