Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- OnClass.data-00000-of-00001 +3 -0
- OnClass.index +0 -0
- OnClass.meta +0 -0
- OnClass.npz +3 -0
- accuracies.json +4 -0
- celltypist.pkl +3 -0
- checkpoint +2 -0
- harmony_knn_classifier.joblib +3 -0
- obo_dag.joblib +3 -0
- popv_output/predictions.csv +0 -0
- preprocessing.json +0 -0
- pynndescent_index.joblib +3 -0
- scanvi/model.pt +3 -0
- scvi/model.pt +3 -0
- scvi_knn_classifier.joblib +3 -0
- svm_classifier_cuml.joblib +3 -0
- xgboost_classifier.model +3 -0
.gitattributes
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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OnClass.data-00000-of-00001 filter=lfs diff=lfs merge=lfs -text
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OnClass.data-00000-of-00001
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OnClass.index
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Binary file (222 Bytes). View file
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OnClass.meta
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OnClass.npz
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accuracies.json
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{
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"query_accuracy": "| Cell Type | N cells | celltypist | knn bbknn | knn harmony | knn on scvi | onclass | scanvi | svm | xgboost | Consensus Prediction |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| cardiac endothelial cell | 1000 | 0.99 | 0.98 | 0.99 | 0.98 | 0.00 | 0.99 | 0.99 | 0.99 | 0.99 |\n| regular atrial cardiac myocyte | 601 | 0.84 | 0.74 | 0.84 | 0.77 | 0.00 | 0.77 | 0.92 | 0.95 | 0.91 |\n| ventricular cardiac muscle cell | 262 | 0.50 | 0.31 | 0.67 | 0.57 | 0.00 | 0.46 | 0.84 | 0.88 | 0.75 |\n| pericyte | 201 | 0.91 | 0.74 | 0.93 | 0.89 | 0.00 | 0.93 | 0.95 | 0.95 | 0.94 |\n| fibroblast of cardiac tissue | 186 | 0.99 | 0.97 | 0.98 | 0.98 | 0.00 | 0.98 | 0.99 | 0.99 | 0.99 |\n| smooth muscle cell | 155 | 0.84 | 0.85 | 0.88 | 0.77 | 0.00 | 0.86 | 0.89 | 0.92 | 0.90 |\n| macrophage | 74 | 0.95 | 0.95 | 0.96 | 0.93 | 0.00 | 0.96 | 0.94 | 0.95 | 0.95 |\n| CD8-positive, alpha-beta T cell | 32 | 0.78 | 0.79 | 0.91 | 0.78 | 0.00 | 0.88 | 0.88 | 0.86 | 0.85 |\n| mesothelial cell | 13 | 0.96 | 0.56 | 0.92 | 0.89 | 0.00 | 0.80 | 0.96 | 0.96 | 0.96 |\n| erythrocyte | 12 | 0.67 | 0.65 | 0.88 | 0.88 | 0.00 | 0.69 | 0.69 | 0.71 | 0.67 |\n| neutrophil | 12 | 0.96 | 0.96 | 0.96 | 0.92 | 0.00 | 0.92 | 0.96 | 0.85 | 0.96 |\n| monocyte | 12 | 0.74 | 0.29 | 0.67 | 0.64 | 0.00 | 0.56 | 0.76 | 0.70 | 0.76 |\n| neuron | 9 | 1.00 | 1.00 | 1.00 | 0.78 | 0.00 | 0.78 | 1.00 | 1.00 | 1.00 |\n| natural killer cell | 9 | 0.50 | 0.18 | 0.75 | 0.44 | 0.00 | 0.67 | 0.59 | 0.17 | 0.31 |\n| CD4-positive, alpha-beta T cell | 5 | 0.00 | 0.71 | 0.80 | 0.60 | 0.00 | 0.77 | 0.83 | 1.00 | 0.91 |\n| B cell | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |\n| mature NK T cell | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |\n| plasmacytoid dendritic cell | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |\n| T cell | 1 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |\n| plasma cell | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |\n| mast cell | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |\n| platelet | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |",
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"ref_accuracy": "| Cell Type | N cells | celltypist | knn bbknn | knn harmony | knn on scvi | onclass | scanvi | svm | xgboost | Consensus Prediction |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| cardiac endothelial cell | 9092 | 0.99 | 0.98 | 0.99 | 0.99 | 0.00 | 0.99 | 0.99 | 0.99 | 0.99 |\n| regular atrial cardiac myocyte | 5215 | 0.84 | 0.55 | 0.91 | 0.90 | 0.00 | 0.98 | 0.92 | 0.96 | 0.95 |\n| ventricular cardiac muscle cell | 2337 | 0.52 | 0.33 | 0.80 | 0.76 | 0.00 | 0.97 | 0.85 | 0.93 | 0.90 |\n| pericyte | 1828 | 0.92 | 0.57 | 0.96 | 0.95 | 0.00 | 0.95 | 0.96 | 0.96 | 0.97 |\n| fibroblast of cardiac tissue | 1761 | 0.99 | 0.93 | 0.99 | 0.99 | 0.00 | 0.98 | 0.99 | 0.99 | 0.99 |\n| smooth muscle cell | 1362 | 0.83 | 0.85 | 0.93 | 0.88 | 0.00 | 0.90 | 0.91 | 0.91 | 0.94 |\n| macrophage | 617 | 0.91 | 0.94 | 0.95 | 0.95 | 0.00 | 0.95 | 0.98 | 0.96 | 0.98 |\n| CD8-positive, alpha-beta T cell | 276 | 0.77 | 0.80 | 0.86 | 0.83 | 0.00 | 0.96 | 1.00 | 1.00 | 0.95 |\n| mesothelial cell | 143 | 0.96 | 0.31 | 0.97 | 0.96 | 0.00 | 0.93 | 0.99 | 0.99 | 0.98 |\n| erythrocyte | 131 | 0.83 | 0.71 | 0.95 | 0.91 | 0.00 | 0.89 | 0.86 | 0.91 | 0.87 |\n| neutrophil | 128 | 0.99 | 0.99 | 0.98 | 0.96 | 0.00 | 0.97 | 1.00 | 1.00 | 1.00 |\n| monocyte | 112 | 0.56 | 0.45 | 0.80 | 0.83 | 0.00 | 0.72 | 0.98 | 0.93 | 0.97 |\n| neuron | 73 | 0.93 | 0.90 | 0.99 | 0.86 | 0.00 | 0.88 | 0.99 | 0.98 | 0.97 |\n| natural killer cell | 70 | 0.44 | 0.24 | 0.67 | 0.52 | 0.00 | 0.91 | 1.00 | 1.00 | 0.88 |\n| CD4-positive, alpha-beta T cell | 64 | 0.00 | 0.73 | 0.81 | 0.63 | 0.00 | 0.93 | 1.00 | 1.00 | 0.96 |\n| B cell | 16 | 0.82 | 0.81 | 0.82 | 0.80 | 0.00 | 0.94 | 1.00 | 1.00 | 0.97 |\n| mature NK T cell | 7 | 0.00 | 0.00 | 0.25 | 0.00 | 0.00 | 0.86 | 1.00 | 1.00 | 0.60 |\n| plasmacytoid dendritic cell | 6 | 0.00 | 0.00 | 0.80 | 0.00 | 0.00 | 0.23 | 1.00 | 1.00 | 1.00 |\n| T cell | 3 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.06 | 1.00 | 1.00 | 0.50 |\n| plasma cell | 3 | 0.00 | 0.00 | 0.50 | 0.00 | 0.00 | 0.31 | 1.00 | 1.00 | 1.00 |\n| mast cell | 3 | 0.00 | 0.00 | 0.80 | 0.00 | 0.00 | 0.86 | 1.00 | 1.00 | 0.80 |\n| platelet | 1 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.07 | 1.00 | 1.00 | 1.00 |"
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}
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celltypist.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:cbba47b7951bd2a492cafdb2e88a9f834b9ad8d8953d7a1ef929ddde7f15183d
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size 521711
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checkpoint
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model_checkpoint_path: "OnClass"
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all_model_checkpoint_paths: "OnClass"
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harmony_knn_classifier.joblib
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oid sha256:e551de67c075a291f5cb84c0c3a5bf649b4dc8a40a2816f5cf4a7f0dda3f5e83
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obo_dag.joblib
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oid sha256:88b6c19fc939f3c304978a10ef8b7cc6ba69d2d4a0a0613df8312b4ee3a26313
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size 321386
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popv_output/predictions.csv
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preprocessing.json
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pynndescent_index.joblib
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oid sha256:8dd82def7fb9e487c0966aa80b13171781feaeba58890787f4a37243ff84e6f2
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size 18956585
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scanvi/model.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:ec6fc562c6495e56d2a0189da73f57958827031c763406853594e81fd261aeea
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scvi/model.pt
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oid sha256:3b3c0fa3b93f761d62bbc638c6f4d8017226d1110da8e430f35e64dcc512b65f
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scvi_knn_classifier.joblib
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oid sha256:03e23f59651522afdc7c04e876c6e29fe16897fd6a8e0223c05e41dc108feeb2
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size 9937925
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svm_classifier_cuml.joblib
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oid sha256:4a80c50f65cf2c46f04069cb3c73e489e590260544c8f77e6ade47ac031af4cb
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xgboost_classifier.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:ad31b509363f09df5368221082c8efc68d8d779b7b76a04343e53d8d6b6b374c
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size 5342775
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