{
"@context": "/terms/",
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"@type": [
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],
"audit": {},
"component": "predictive modeling",
"contact_pi": "/users/8ff3ad59-744f-4be8-8ce8-119fd5281175/",
"creation_timestamp": "2023-01-27T01:13:31.018256+00:00",
"name": "HG012022",
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"status": "current",
"submitted_by": {
"@id": "/users/1e75d989-a438-4d77-a451-8a297fd3636e/",
"title": "Ian Whaling"
},
"summary": "Supporting IGVF by modeling genetics, function, and phenotype with machine learning",
"title": "Supporting IGVF by modeling genetics, function, and phenotype with machine learning",
"url": "https://reporter.nih.gov/search/un-s4Qo4g0i7DNOYC2kBlw/project-details/10480924",
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