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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 sha256:7a4f6011770c11f7210393d52df4cad1ecab89a9b2fe820261d86f56eef2cee0
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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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Binary file (68.1 kB). View file
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OnClass.npz
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version https://git-lfs.github.com/spec/v1
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oid sha256:83db7152540517ee048d673045e9515f027ea980b99b80f7195ef0f7ceff7940
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size 144112404
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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| kidney epithelial cell | 924 | 1.00 | 0.99 | 1.00 | 1.00 | 0.00 | 0.97 | 1.00 | 1.00 | 1.00 |\n| CD8-positive, alpha-beta T cell | 52 | 0.88 | 0.88 | 0.88 | 0.71 | 0.00 | 0.89 | 0.91 | 0.91 | 0.93 |\n| B cell | 51 | 0.97 | 0.79 | 0.97 | 0.97 | 0.00 | 0.97 | 0.94 | 0.97 | 0.96 |\n| macrophage | 40 | 0.85 | 0.67 | 0.85 | 0.77 | 0.00 | 0.72 | 0.74 | 0.79 | 0.84 |\n| CD4-positive, alpha-beta T cell | 25 | 0.78 | 0.89 | 0.86 | 0.54 | 0.00 | 0.74 | 0.83 | 0.86 | 0.91 |\n| natural killer cell | 22 | 0.95 | 0.93 | 0.93 | 0.73 | 0.00 | 0.88 | 0.95 | 0.96 | 0.95 |\n| endothelial cell | 14 | 0.93 | 0.60 | 0.92 | 0.88 | 0.00 | 0.40 | 0.89 | 0.86 | 0.92 |\n| monocyte | 5 | 0.00 | 0.00 | 0.50 | 0.00 | 0.00 | 0.38 | 0.40 | 0.22 | 0.29 |\n| non-classical monocyte | 1 | 0.00 | 0.00 | 0.50 | 0.00 | 0.00 | 0.40 | 0.00 | 0.00 | 0.00 |\n| neutrophil | 2 | 1.00 | 0.00 | 1.00 | 0.00 | 0.00 | 0.67 | 0.67 | 0.67 | 0.67 |\n| T cell | 2 | 0.00 | 0.00 | 0.67 | 0.40 | 0.00 | 0.00 | 0.00 | 0.67 | 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| intermediate 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| kidney epithelial cell | 8354 | 1.00 | 0.99 | 1.00 | 1.00 | 0.00 | 0.98 | 1.00 | 1.00 | 1.00 |\n| CD8-positive, alpha-beta T cell | 485 | 0.82 | 0.81 | 0.90 | 0.79 | 0.00 | 0.92 | 1.00 | 1.00 | 0.96 |\n| B cell | 443 | 0.97 | 0.78 | 0.98 | 0.98 | 0.00 | 0.99 | 1.00 | 1.00 | 1.00 |\n| macrophage | 299 | 0.79 | 0.56 | 0.88 | 0.85 | 0.00 | 0.87 | 0.99 | 0.96 | 0.96 |\n| CD4-positive, alpha-beta T cell | 274 | 0.73 | 0.81 | 0.87 | 0.76 | 0.00 | 0.86 | 1.00 | 1.00 | 0.93 |\n| natural killer cell | 179 | 0.91 | 0.92 | 0.94 | 0.75 | 0.00 | 0.91 | 1.00 | 1.00 | 0.99 |\n| endothelial cell | 87 | 0.91 | 0.00 | 0.97 | 0.90 | 0.00 | 0.32 | 0.86 | 0.86 | 0.94 |\n| monocyte | 49 | 0.00 | 0.00 | 0.59 | 0.49 | 0.00 | 0.85 | 1.00 | 1.00 | 0.85 |\n| non-classical monocyte | 26 | 0.00 | 0.00 | 0.86 | 0.00 | 0.00 | 0.89 | 1.00 | 1.00 | 0.98 |\n| neutrophil | 20 | 1.00 | 0.00 | 0.95 | 0.63 | 0.00 | 0.91 | 1.00 | 1.00 | 1.00 |\n| T cell | 15 | 0.00 | 0.00 | 0.20 | 0.22 | 0.00 | 0.75 | 1.00 | 1.00 | 0.85 |\n| plasma cell | 5 | 0.00 | 0.00 | 0.75 | 0.75 | 0.00 | 0.80 | 1.00 | 1.00 | 1.00 |\n| intermediate monocyte | 2 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.67 | 1.00 | 1.00 | 0.00 |"
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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:cee5f02d695ae281e850816c63cb78841d0da495f7f75e7b426e00511c2cb921
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size 377497
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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 sha256:7519847d4e7083c15c2f003ce0e97bef8210a8d96e6932ea93f5836c108f3b1e
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size 7895685
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obo_dag.joblib
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version https://git-lfs.github.com/spec/v1
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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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version https://git-lfs.github.com/spec/v1
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oid sha256:e2bfc2066b37c5c1eaf43a76beaa1a85f12ef8a517e81c6a5bd3e1906ad082d9
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scanvi/model.pt
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oid sha256:b328903de47217cf37191f7fb0e3beda4ab420a64d0f4c5613941db3910c5491
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size 11390444
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scvi/model.pt
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oid sha256:7e80e6c88e5079269bc82ca829094ee538af10bffc4db90e838801acb40385ce
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size 10859965
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scvi_knn_classifier.joblib
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oid sha256:b07845203f18f3e6f17121aa6e7e28e33d38104213a69e6634baa49e7752366f
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size 4316357
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svm_classifier_cuml.joblib
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oid sha256:2296b316ea1dd4e638abfa24b7c6ef1324a64edca502f924debbbea5590d09f4
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size 223115
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xgboost_classifier.model
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oid sha256:637ced89a3e76336a48f53e3823c50727d84f36a71c67c1a0182a6eb581e995b
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size 3223192
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