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"embedding_id": "node2vec_consensus_ppi",
"display_name": "Node2Vec-consensus-PPI",
"modality": "PPI network embedding",
"species": "Homo sapiens",
"original_identifier_type": "Entrez Gene ID",
"mapping_method": "Exact Entrez ID mapping to master_gene_table_v1_1_enriched.csv using entrez_id, hgnc_entrez_id, and map_entrez_ids_all. Only unique mappings are accepted. Duplicate source rows mapping to the same final master gene are averaged.",
"n_genes": 18356,
"n_dimensions": 128,
"master_coverage_fraction": 0.9133701547494651,
"original_method": "node2vec: scalable feature learning for networks",
"embedding_generated_by": "Daniel locally from consensus.dat using reproducible random walks and Word2Vec skip-gram",
"input_data_source": "ylaboratory/gene-embedding-benchmarks GitHub repository: src/other/preprocess_embedding/consensus.dat"
}
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