Return metapaths for a random source and target node for which at least one metapath with path count information exists in the database.

GET /v1/metapaths/random-nodes/?format=api
HTTP 200 OK
Allow: GET
Content-Type: application/json
Vary: Accept

{
    "source": {
        "id": 40736,
        "identifier": "55785",
        "identifier_type": "int",
        "name": "FGD6",
        "properties": {
            "url": "http://identifiers.org/ncbigene/55785",
            "source": "Entrez Gene",
            "license": "CC0 1.0",
            "chromosome": "12",
            "description": "FYVE, RhoGEF and PH domain containing 6"
        },
        "metanode": "Gene"
    },
    "target": {
        "id": 7519,
        "identifier": "152273",
        "identifier_type": "int",
        "name": "FGD5",
        "properties": {
            "url": "http://identifiers.org/ncbigene/152273",
            "source": "Entrez Gene",
            "license": "CC0 1.0",
            "chromosome": "3",
            "description": "FYVE, RhoGEF and PH domain containing 5"
        },
        "metanode": "Gene"
    },
    "path_counts": [
        {
            "id": 39190269,
            "adjusted_p_value": 6.957362516228429e-05,
            "path_count": 14,
            "dwpc": 6.304201454002372,
            "p_value": 2.174175786321384e-06,
            "reversed": false,
            "metapath_abbreviation": "GpBPpG",
            "metapath_name": "Gene–participates–Biological Process–participates–Gene",
            "metapath_length": 2,
            "metapath_path_count_density": 0.0942277,
            "metapath_path_count_mean": 0.41078000000000003,
            "metapath_path_count_max": 387,
            "metapath_dwpc_raw_mean": 2.59996e-05,
            "metapath_n_similar": 32,
            "metapath_p_threshold": 0.000399182788117621,
            "metapath_id": "GpBPpG",
            "metapath_reversed": false,
            "metapath_metaedges": [
                [
                    "Gene",
                    "Biological Process",
                    "participates",
                    "both"
                ],
                [
                    "Biological Process",
                    "Gene",
                    "participates",
                    "both"
                ]
            ],
            "dgp_id": 5735836,
            "dgp_source_degree": 14,
            "dgp_target_degree": 14,
            "dgp_n_dwpcs": 21780000,
            "dgp_n_nonzero_dwpcs": 2531824,
            "dgp_nonzero_mean": 2.4296112102511658,
            "dgp_nonzero_sd": 0.6814040931631121,
            "dgp_reversed": false,
            "cypher_query": "MATCH path = (n0:Gene)-[:PARTICIPATES_GpBP]-(n1)-[:PARTICIPATES_GpBP]-(n2:Gene)\nUSING JOIN ON n1\nWHERE n0.identifier = 55785 // FGD6\nAND n2.identifier = 152273 // FGD5\nAND n0 <> n2\nWITH\n[\nsize((n0)-[:PARTICIPATES_GpBP]-()),\nsize(()-[:PARTICIPATES_GpBP]-(n1)),\nsize((n1)-[:PARTICIPATES_GpBP]-()),\nsize(()-[:PARTICIPATES_GpBP]-(n2))\n] AS degrees, path\nWITH path, reduce(pdp = 1.0, d in degrees| pdp * d ^ -0.5) AS PDP\nWITH collect({paths: path, PDPs: PDP}) AS data_maps, count(path) AS PC, sum(PDP) AS DWPC\nUNWIND data_maps AS data_map\nWITH data_map.paths AS path, data_map.PDPs AS PDP, PC, DWPC\nRETURN\n  path AS neo4j_path,\n  substring(reduce(s = '', node IN nodes(path)| s + '–' + node.name), 1) AS path,\n  PDP,\n  100 * (PDP / DWPC) AS percent_of_DWPC\nORDER BY percent_of_DWPC DESC\nLIMIT 10"
        },
        {
            "id": 17300457,
            "adjusted_p_value": 0.0008477281955284148,
            "path_count": 5,
            "dwpc": 6.256847849110503,
            "p_value": 2.6491506110262963e-05,
            "reversed": false,
            "metapath_abbreviation": "GpMFpG",
            "metapath_name": "Gene–participates–Molecular Function–participates–Gene",
            "metapath_length": 2,
            "metapath_path_count_density": 0.0281503,
            "metapath_path_count_mean": 0.07041339999999999,
            "metapath_path_count_max": 35,
            "metapath_dwpc_raw_mean": 2.58787e-05,
            "metapath_n_similar": 32,
            "metapath_p_threshold": 0.000399182788117621,
            "metapath_id": "GpMFpG",
            "metapath_reversed": false,
            "metapath_metaedges": [
                [
                    "Gene",
                    "Molecular Function",
                    "participates",
                    "both"
                ],
                [
                    "Molecular Function",
                    "Gene",
                    "participates",
                    "both"
                ]
            ],
            "dgp_id": 5868997,
            "dgp_source_degree": 5,
            "dgp_target_degree": 5,
            "dgp_n_dwpcs": 266343200,
            "dgp_n_nonzero_dwpcs": 22178026,
            "dgp_nonzero_mean": 3.4252406506809043,
            "dgp_nonzero_sd": 0.6840858988747054,
            "dgp_reversed": false,
            "cypher_query": "MATCH path = (n0:Gene)-[:PARTICIPATES_GpMF]-(n1)-[:PARTICIPATES_GpMF]-(n2:Gene)\nUSING JOIN ON n1\nWHERE n0.identifier = 55785 // FGD6\nAND n2.identifier = 152273 // FGD5\nAND n0 <> n2\nWITH\n[\nsize((n0)-[:PARTICIPATES_GpMF]-()),\nsize(()-[:PARTICIPATES_GpMF]-(n1)),\nsize((n1)-[:PARTICIPATES_GpMF]-()),\nsize(()-[:PARTICIPATES_GpMF]-(n2))\n] AS degrees, path\nWITH path, reduce(pdp = 1.0, d in degrees| pdp * d ^ -0.5) AS PDP\nWITH collect({paths: path, PDPs: PDP}) AS data_maps, count(path) AS PC, sum(PDP) AS DWPC\nUNWIND data_maps AS data_map\nWITH data_map.paths AS path, data_map.PDPs AS PDP, PC, DWPC\nRETURN\n  path AS neo4j_path,\n  substring(reduce(s = '', node IN nodes(path)| s + '–' + node.name), 1) AS path,\n  PDP,\n  100 * (PDP / DWPC) AS percent_of_DWPC\nORDER BY percent_of_DWPC DESC\nLIMIT 10"
        }
    ],
    "n_metapaths": 2,
    "pathcount_table_random_id": 17300457,
    "pathcount_table_max_id": 169602979
}