HG012039

{
    "@context": "/terms/",
    "@id": "/awards/HG012039/",
    "@type": [
        "Award",
        "Item"
    ],
    "audit": {},
    "component": "predictive modeling",
    "contact_pi": "/users/9c43aecb-19dd-4a73-8728-9d71e89315af/",
    "creation_timestamp": "2023-01-27T01:13:30.465798+00:00",
    "name": "HG012039",
    "pis": [
        "/users/9c43aecb-19dd-4a73-8728-9d71e89315af/",
        "/users/b3369f41-fb94-4647-b421-e845d39711e1/",
        "/users/51bbe3ea-0344-473b-8f9b-ee25c5a68c4d/",
        "/users/06179baa-3364-4712-a3a2-188cc15eca12/"
    ],
    "project": "IGVF",
    "schema_version": "5",
    "status": "current",
    "submitted_by": {
        "@id": "/users/1e75d989-a438-4d77-a451-8a297fd3636e/",
        "title": "Ian Whaling"
    },
    "summary": "Linking Variants to Multi-scale Phenotypes via a Synthesis of Subnetwork Inference and Deep Learning",
    "title": "Linking Variants to Multi-scale Phenotypes via a Synthesis of Subnetwork Inference and Deep Learning",
    "url": "https://reporter.nih.gov/search/BdIdtLuFOE2FSbmMaphMkw/project-details/10479037",
    "uuid": "0233624d-b75e-4481-9f96-87d44a762509",
    "viewing_group": "IGVF"
}