popV version: 0.6.0
Browse files- OnClass.data-00000-of-00001 +1 -1
- OnClass.index +0 -0
- OnClass.meta +0 -0
- OnClass.npz +2 -2
- README.md +0 -0
- accuracies.json +2 -2
- celltypist.pkl +1 -1
- faiss_index.faiss +0 -0
- faiss_index.index +1 -1
- harmony_knn_classifier.index +2 -2
- harmony_knn_classifier.joblib +0 -0
- metadata.json +0 -0
- minified_ref_adata.h5ad +0 -0
- popv_output/predictions.csv +0 -0
- preprocessing.json +0 -0
- ref_labels.csv +0 -0
- scanvi/model.pt +2 -2
- scvi/model.pt +2 -2
- scvi_knn_classifier.index +2 -2
- scvi_knn_classifier.joblib +0 -0
- svm_classifier.joblib +1 -1
- svm_classifier_cuml.joblib +0 -0
- xgboost_classifier.model +2 -2
OnClass.data-00000-of-00001
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OnClass.index
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OnClass.meta
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OnClass.npz
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README.md
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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| endothelial cell |
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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| endothelial cell |
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}
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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| endothelial cell | 3207 | 0.80 | 0.79 | 0.83 | 0.68 | 0.00 | 0.57 | 0.72 | 0.78 | 0.85 |\n| capillary endothelial cell | 1563 | 0.80 | 0.74 | 0.81 | 0.55 | 0.00 | 0.55 | 0.73 | 0.79 | 0.82 |\n| cardiac endothelial cell | 958 | 0.98 | 0.95 | 0.90 | 0.57 | 0.00 | 0.30 | 0.95 | 0.97 | 0.98 |\n| vein endothelial cell | 474 | 0.49 | 0.17 | 0.57 | 0.19 | 0.00 | 0.40 | 0.49 | 0.53 | 0.59 |\n| endothelial cell of artery | 327 | 0.64 | 0.55 | 0.70 | 0.42 | 0.00 | 0.54 | 0.61 | 0.67 | 0.73 |\n| endothelial cell of lymphatic vessel | 216 | 0.70 | 0.66 | 0.69 | 0.65 | 0.00 | 0.43 | 0.64 | 0.68 | 0.67 |\n| retinal blood vessel endothelial cell | 180 | 0.47 | 0.00 | 0.46 | 0.09 | 0.00 | 0.12 | 0.53 | 0.60 | 0.51 |\n| endothelial cell of vascular tree | 75 | 0.36 | 0.03 | 0.44 | 0.30 | 0.00 | 0.37 | 0.37 | 0.63 | 0.60 |\n| colon endothelial cell | 15 | 0.24 | 0.00 | 0.61 | 0.00 | 0.00 | 0.08 | 0.17 | 0.33 | 0.55 |\n| endothelial cell of arteriole | 12 | 0.57 | 0.00 | 0.15 | 0.00 | 0.00 | 0.06 | 0.36 | 0.77 | 0.67 |\n| endothelial cell of venule | 2 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.07 | 0.25 | 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| endothelial cell | 30180 | 0.79 | 0.79 | 0.87 | 0.71 | 0.00 | 0.86 | 0.73 | 0.79 | 0.91 |\n| capillary endothelial cell | 13716 | 0.79 | 0.74 | 0.83 | 0.60 | 0.00 | 0.82 | 0.74 | 0.80 | 0.85 |\n| cardiac endothelial cell | 9111 | 0.97 | 0.95 | 0.89 | 0.56 | 0.00 | 0.98 | 0.95 | 0.96 | 0.98 |\n| vein endothelial cell | 4209 | 0.47 | 0.21 | 0.67 | 0.31 | 0.00 | 0.65 | 0.50 | 0.54 | 0.69 |\n| endothelial cell of artery | 3138 | 0.61 | 0.60 | 0.75 | 0.51 | 0.00 | 0.68 | 0.62 | 0.68 | 0.74 |\n| endothelial cell of lymphatic vessel | 2201 | 0.68 | 0.67 | 0.78 | 0.67 | 0.00 | 0.67 | 0.65 | 0.71 | 0.75 |\n| retinal blood vessel endothelial cell | 1878 | 0.52 | 0.00 | 0.68 | 0.19 | 0.00 | 0.84 | 0.58 | 0.66 | 0.84 |\n| endothelial cell of vascular tree | 788 | 0.38 | 0.03 | 0.69 | 0.43 | 0.00 | 0.68 | 0.47 | 0.62 | 0.72 |\n| colon endothelial cell | 292 | 0.23 | 0.03 | 0.47 | 0.14 | 0.00 | 0.61 | 0.48 | 0.58 | 0.68 |\n| endothelial cell of arteriole | 104 | 0.46 | 0.02 | 0.38 | 0.00 | 0.00 | 0.17 | 0.34 | 0.59 | 0.85 |\n| endothelial cell of venule | 43 | 0.00 | 0.00 | 0.05 | 0.00 | 0.00 | 0.36 | 0.38 | 0.73 | 0.74 |"
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celltypist.pkl
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harmony_knn_classifier.joblib
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metadata.json
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minified_ref_adata.h5ad
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popv_output/predictions.csv
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preprocessing.json
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ref_labels.csv
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scanvi/model.pt
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scvi_knn_classifier.joblib
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svm_classifier.joblib
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xgboost_classifier.model
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