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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version https://git-lfs.github.com/spec/v1
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oid sha256:7c9a580d1486b856e90c201ace246ecea4880df9462ac058dbc8376df0180456
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size 27239224
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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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version https://git-lfs.github.com/spec/v1
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size 144112416
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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| spermatid | 405 | 0.99 | 0.99 | 0.99 | 0.99 | 0.00 | 0.98 | 0.99 | 0.98 | 0.99 |\n| spermatocyte | 299 | 0.98 | 0.98 | 0.98 | 0.99 | 0.00 | 0.96 | 0.99 | 0.97 | 0.99 |\n| male germ cell | 12 | 1.00 | 1.00 | 1.00 | 0.96 | 0.00 | 1.00 | 1.00 | 1.00 | 1.00 |\n| peritubular myoid cell | 11 | 0.80 | 0.91 | 0.82 | 0.74 | 0.00 | 0.83 | 0.87 | 0.92 | 0.91 |\n| spermatogonium | 7 | 0.93 | 0.93 | 0.93 | 0.93 | 0.00 | 0.88 | 0.93 | 0.88 | 0.93 |\n| stromal cell | 6 | 0.86 | 0.60 | 0.80 | 0.67 | 0.00 | 0.86 | 0.77 | 0.92 | 0.86 |\n| tissue-resident macrophage | 4 | 1.00 | 1.00 | 1.00 | 1.00 | 0.00 | 0.86 | 1.00 | 1.00 | 1.00 |\n| endothelial cell | 7 | 0.83 | 0.92 | 0.92 | 0.92 | 0.00 | 0.92 | 0.92 | 0.92 | 0.92 |\n| Leydig cell | 1 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |\n| CD8-positive, alpha-beta T cell | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |\n| CD4-positive, alpha-beta T 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| macrophage | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |\n| B cell | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |\n| monocyte | 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| spermatid | 3604 | 0.98 | 0.99 | 0.99 | 0.99 | 0.00 | 0.98 | 0.99 | 0.99 | 0.99 |\n| spermatocyte | 2771 | 0.97 | 0.98 | 0.99 | 0.98 | 0.00 | 0.97 | 0.98 | 0.98 | 0.99 |\n| male germ cell | 104 | 0.97 | 0.99 | 0.99 | 0.97 | 0.00 | 0.98 | 1.00 | 1.00 | 1.00 |\n| peritubular myoid cell | 56 | 0.75 | 0.76 | 0.87 | 0.73 | 0.00 | 0.91 | 0.99 | 0.98 | 0.95 |\n| spermatogonium | 57 | 0.86 | 0.85 | 0.92 | 0.89 | 0.00 | 0.83 | 0.91 | 0.87 | 0.93 |\n| stromal cell | 55 | 0.81 | 0.65 | 0.87 | 0.80 | 0.00 | 0.96 | 0.99 | 1.00 | 0.93 |\n| tissue-resident macrophage | 50 | 0.91 | 0.93 | 0.97 | 0.96 | 0.00 | 0.99 | 1.00 | 1.00 | 0.99 |\n| endothelial cell | 46 | 1.00 | 1.00 | 1.00 | 0.95 | 0.00 | 1.00 | 1.00 | 1.00 | 1.00 |\n| Leydig cell | 9 | 0.00 | 0.11 | 0.33 | 0.38 | 0.00 | 0.94 | 1.00 | 1.00 | 0.71 |\n| CD8-positive, alpha-beta T cell | 3 | 0.00 | 0.00 | 0.50 | 0.00 | 0.00 | 0.67 | 1.00 | 1.00 | 1.00 |\n| CD4-positive, alpha-beta T cell | 2 | 0.00 | 0.50 | 0.57 | 0.40 | 0.00 | 0.67 | 1.00 | 1.00 | 1.00 |\n| mast cell | 1 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | 1.00 | 1.00 |\n| macrophage | 1 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | 1.00 | 1.00 |\n| B cell | 1 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | 1.00 | 1.00 |\n| monocyte | 1 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | 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 sha256:358790c30affbfd8c1ed5fedf25c4f2cd3492f78348a8e519a9df4fdca18a76f
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size 409529
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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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version https://git-lfs.github.com/spec/v1
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size 5140293
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obo_dag.joblib
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version https://git-lfs.github.com/spec/v1
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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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version https://git-lfs.github.com/spec/v1
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oid sha256:2ec4d945c3b34f88add0e3270ce884a16af2ad844162fc6fc3344cc8240f6849
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size 5508533
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scanvi/model.pt
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version https://git-lfs.github.com/spec/v1
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size 11350316
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scvi/model.pt
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version https://git-lfs.github.com/spec/v1
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scvi_knn_classifier.joblib
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version https://git-lfs.github.com/spec/v1
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size 2844981
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svm_classifier_cuml.joblib
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version https://git-lfs.github.com/spec/v1
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xgboost_classifier.model
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version https://git-lfs.github.com/spec/v1
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