Download data/embeddings/node2vec_consensus_ppi/metadata.json from BoevaLab/Gene-Embedding-Hub-dataset: direct link, hf CLI and curl.
- Browser
- Download file 873 Bytes
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https://huggingface.co/datasets/BoevaLab/Gene-Embedding-Hub-dataset/resolve/main/data/embeddings/node2vec_consensus_ppi/metadata.json
- Command line
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hf download hf://datasets/BoevaLab/Gene-Embedding-Hub-dataset/data/embeddings/node2vec_consensus_ppi/metadata.json
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curl -L -o metadata.json https://huggingface.co/datasets/BoevaLab/Gene-Embedding-Hub-dataset/resolve/main/data/embeddings/node2vec_consensus_ppi/metadata.json
873 Bytes
| { | |
| "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" | |
| } | |