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.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+OnClass.data-00000-of-00001 filter=lfs diff=lfs merge=lfs -text

OnClass.data-00000-of-00001

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OnClass.npz

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accuracies.json

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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| aortic endothelial cell | 29 | 0.96 | 0.98 | 0.93 | 0.98 | 0.00 | 0.98 | 1.00 | 1.00 | 1.00 |\n| fibroblast of cardiac tissue | 11 | 1.00 | 1.00 | 0.81 | 0.91 | 0.00 | 1.00 | 1.00 | 1.00 | 1.00 |\n| professional antigen presenting cell | 5 | 0.71 | 0.73 | 0.77 | 0.00 | 0.00 | 0.77 | 0.83 | 0.71 | 0.77 |\n| fibrocyte | 2 | 0.67 | 0.00 | 0.00 | 0.00 | 0.00 | 0.67 | 0.67 | 0.00 | 0.67 |\n| macrophage | 1 | 1.00 | 0.67 | 1.00 | 0.00 | 0.00 | 1.00 | 1.00 | 1.00 | 1.00 |\n| epithelial cell | 2 | 0.67 | 0.00 | 0.00 | 0.00 | 0.00 | 0.67 | 0.67 | 0.00 | 0.00 |",
+    "ref_accuracy": "| Cell Type | N cells |  celltypist |  knn bbknn |  knn harmony |  knn on scvi |  onclass |  scanvi |  svm |  xgboost | Consensus Prediction |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| aortic endothelial cell | 423 | 1.00 | 0.95 | 0.92 | 0.97 | 0.00 | 0.98 | 1.00 | 1.00 | 1.00 |\n| fibroblast of cardiac tissue | 197 | 1.00 | 0.94 | 0.87 | 0.96 | 0.00 | 0.95 | 1.00 | 1.00 | 1.00 |\n| professional antigen presenting cell | 115 | 1.00 | 0.83 | 0.89 | 0.84 | 0.00 | 0.97 | 1.00 | 1.00 | 1.00 |\n| fibrocyte | 37 | 1.00 | 0.20 | 0.67 | 0.63 | 0.00 | 0.82 | 1.00 | 1.00 | 1.00 |\n| macrophage | 27 | 1.00 | 0.63 | 0.81 | 0.80 | 0.00 | 0.79 | 1.00 | 1.00 | 1.00 |\n| epithelial cell | 16 | 1.00 | 0.00 | 0.12 | 0.62 | 0.00 | 0.80 | 1.00 | 1.00 | 1.00 |"
+}

celltypist.pkl

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checkpoint

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harmony_knn_classifier.joblib

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obo_dag.joblib

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popv_output/predictions.csv

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preprocessing.json

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+    "label_categories": [
+        "aortic endothelial cell",
+        "epithelial cell",
+        "fibroblast of cardiac tissue",
+        "fibrocyte",
+        "macrophage",
+        "professional antigen presenting cell",
+        "unassigned"
+    ]
+}

pynndescent_index.joblib

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scanvi/model.pt

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