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Merge Ontologies into Functional and reclassify HPA tissue
Browse files- catalog.json +10 -10
- index.html +1 -6
catalog.json
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@@ -620,9 +620,9 @@
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{
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"id": "go_bp_uniprot_tfidf_svd256",
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"name": "GO TF-IDF SVD-256",
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"category": "
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"category_source": "manual",
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"modality": "
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"algorithm": "binary GO Biological Process profile + TF-IDF + TruncatedSVD-256",
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"description": "Ontology-based representation built from direct, non-negated Gene Ontology Biological Process annotations, weighted with TF-IDF and reduced to 256 dimensions by SVD.",
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"n_genes": 16833,
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@@ -731,7 +731,7 @@
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},
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{
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"algorithm": "HPA normal tissue immunohistochemistry annotations. maximum ordinal protein-expression level across annotated cell types within each tissue. HPA Level encoded as Not detected=0, Low=1, Medium=2, High=3. For each gene and tissue, maximum level across annotated cell types was used. Tissue columns were z-scored across mapped genes.",
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"category": "
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"category_source": "manual",
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"community_contribution": false,
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"coverage_pct": 66.78,
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@@ -740,7 +740,7 @@
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"id": "hpa_normal_ihc_tissue_level_zscore",
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"license": "Original source / license terms",
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"metadata_url": "https://huggingface.co/datasets/embeddingsSSRF/gene_embeddings/blob/326b257a20e73df337ece40bb82401e277851f5b/data/embeddings/hpa_normal_ihc_tissue_level_zscore/metadata.json",
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"modality": "
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"n_dims": 59,
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"n_genes": 13420,
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"name": "HPA tissue",
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},
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{
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"algorithm": "NEWT component embedding (checkpoint: not applicable). precomputed component embedding table.",
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"category": "
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"category_source": "manual",
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"community_contribution": false,
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"coverage_pct": 68.61,
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@@ -960,7 +960,7 @@
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"id": "newt_go_256",
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"license": "Original source / license terms",
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"metadata_url": "https://huggingface.co/datasets/embeddingsSSRF/gene_embeddings/blob/326b257a20e73df337ece40bb82401e277851f5b/data/embeddings/newt_go_256/metadata.json",
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"modality": "
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"n_dims": 256,
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"n_genes": 13788,
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"name": "NEWT GO-256",
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@@ -973,7 +973,7 @@
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},
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{
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"algorithm": "NEWT component embedding (checkpoint: not applicable). precomputed component embedding table.",
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"category": "
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"category_source": "manual",
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"community_contribution": false,
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"coverage_pct": 68.61,
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"id": "newt_go_graph",
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"license": "Original source / license terms",
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"metadata_url": "https://huggingface.co/datasets/embeddingsSSRF/gene_embeddings/blob/326b257a20e73df337ece40bb82401e277851f5b/data/embeddings/newt_go_graph/metadata.json",
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"modality": "
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"n_dims": 256,
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"n_genes": 13788,
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"name": "NEWT GO graph",
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},
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{
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"algorithm": "OPA2Vec.",
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"category": "
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"category_source": "manual",
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"community_contribution": false,
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"coverage_pct": 92.85,
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"id": "opa2vec_goa_human",
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"license": "Original source / license terms",
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"metadata_url": "https://huggingface.co/datasets/embeddingsSSRF/gene_embeddings/blob/326b257a20e73df337ece40bb82401e277851f5b/data/embeddings/opa2vec_goa_human/metadata.json",
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"modality": "
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"n_dims": 200,
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"n_genes": 18660,
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"name": "OPA2Vec",
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{
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"id": "go_bp_uniprot_tfidf_svd256",
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"name": "GO TF-IDF SVD-256",
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"category": "Functional",
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"category_source": "manual",
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"modality": "Functional",
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"algorithm": "binary GO Biological Process profile + TF-IDF + TruncatedSVD-256",
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"description": "Ontology-based representation built from direct, non-negated Gene Ontology Biological Process annotations, weighted with TF-IDF and reduced to 256 dimensions by SVD.",
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"n_genes": 16833,
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},
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{
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"algorithm": "HPA normal tissue immunohistochemistry annotations. maximum ordinal protein-expression level across annotated cell types within each tissue. HPA Level encoded as Not detected=0, Low=1, Medium=2, High=3. For each gene and tissue, maximum level across annotated cell types was used. Tissue columns were z-scored across mapped genes.",
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"category": "Expression",
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"category_source": "manual",
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"community_contribution": false,
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"coverage_pct": 66.78,
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"id": "hpa_normal_ihc_tissue_level_zscore",
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"license": "Original source / license terms",
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"metadata_url": "https://huggingface.co/datasets/embeddingsSSRF/gene_embeddings/blob/326b257a20e73df337ece40bb82401e277851f5b/data/embeddings/hpa_normal_ihc_tissue_level_zscore/metadata.json",
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"modality": "Expression",
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"n_dims": 59,
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"n_genes": 13420,
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"name": "HPA tissue",
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},
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{
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"algorithm": "NEWT component embedding (checkpoint: not applicable). precomputed component embedding table.",
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"category": "Functional",
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"category_source": "manual",
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"community_contribution": false,
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"coverage_pct": 68.61,
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"id": "newt_go_256",
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"license": "Original source / license terms",
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"metadata_url": "https://huggingface.co/datasets/embeddingsSSRF/gene_embeddings/blob/326b257a20e73df337ece40bb82401e277851f5b/data/embeddings/newt_go_256/metadata.json",
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"modality": "Functional",
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"n_dims": 256,
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"n_genes": 13788,
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"name": "NEWT GO-256",
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},
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{
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"algorithm": "NEWT component embedding (checkpoint: not applicable). precomputed component embedding table.",
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"category": "Functional",
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"category_source": "manual",
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"community_contribution": false,
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"coverage_pct": 68.61,
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"id": "newt_go_graph",
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"license": "Original source / license terms",
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"metadata_url": "https://huggingface.co/datasets/embeddingsSSRF/gene_embeddings/blob/326b257a20e73df337ece40bb82401e277851f5b/data/embeddings/newt_go_graph/metadata.json",
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"modality": "Functional",
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"n_dims": 256,
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"n_genes": 13788,
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"name": "NEWT GO graph",
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},
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{
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"algorithm": "OPA2Vec.",
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"category": "Functional",
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"category_source": "manual",
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"community_contribution": false,
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"coverage_pct": 92.85,
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"id": "opa2vec_goa_human",
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"license": "Original source / license terms",
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"metadata_url": "https://huggingface.co/datasets/embeddingsSSRF/gene_embeddings/blob/326b257a20e73df337ece40bb82401e277851f5b/data/embeddings/opa2vec_goa_human/metadata.json",
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"modality": "Functional",
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"n_dims": 200,
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"n_genes": 18660,
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"name": "OPA2Vec",
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index.html
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<h1>Gene Embeddings</h1>
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<p class="lead">
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Browse standardized gene-level representations spanning
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protein sequence, DNA sequence, RNA sequence, expression,
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biomedical text, functional data, networks, ontologies,
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regulatory genomics, knowledge graphs, single-cell, and
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multimodal representations.
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</p>
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<div class="actions">
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<a
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<h1>Gene Embeddings</h1>
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<p class="lead">
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Browse standardized gene-level representations spanning protein sequence, DNA sequence, RNA sequence, expression, biomedical text, functional, networks, regulatory genomics, knowledge graphs, single-cell, and multimodal representations.</p>
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<div class="actions">
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class="button primary"
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