Upload folder using huggingface_hub
Browse files- .gitattributes +3 -0
- OnClass.data-00000-of-00001 +1 -1
- OnClass.index +0 -0
- OnClass.meta +0 -0
- OnClass.npz +2 -2
- README.md +0 -68
- accuracies.json +2 -2
- celltypist.pkl +1 -1
- faiss_index.faiss +0 -0
- scvi_knn_classifier.joblib → faiss_index.index +2 -2
- harmony_knn_classifier.joblib → harmony_knn_classifier.index +2 -2
- metadata.json +0 -31
- minified_ref_adata.h5ad +0 -3
- 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
- svm_classifier_cuml.joblib → scvi_knn_classifier.index +2 -2
- svm_classifier.joblib +2 -2
- xgboost_classifier.model +2 -2
.gitattributes
CHANGED
|
@@ -35,3 +35,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 36 |
OnClass.data-00000-of-00001 filter=lfs diff=lfs merge=lfs -text
|
| 37 |
minified_ref_adata.h5ad filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
|
|
|
|
|
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 36 |
OnClass.data-00000-of-00001 filter=lfs diff=lfs merge=lfs -text
|
| 37 |
minified_ref_adata.h5ad filter=lfs diff=lfs merge=lfs -text
|
| 38 |
+
faiss_index.index filter=lfs diff=lfs merge=lfs -text
|
| 39 |
+
harmony_knn_classifier.index filter=lfs diff=lfs merge=lfs -text
|
| 40 |
+
scvi_knn_classifier.index filter=lfs diff=lfs merge=lfs -text
|
OnClass.data-00000-of-00001
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 27239224
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:338e6fbafc0627061b4767545f1828457522dcebae7b0100b44e260e49beb88d
|
| 3 |
size 27239224
|
OnClass.index
CHANGED
|
Binary files a/OnClass.index and b/OnClass.index differ
|
|
|
OnClass.meta
CHANGED
|
Binary files a/OnClass.meta and b/OnClass.meta differ
|
|
|
OnClass.npz
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f49d1f1821a751b7f318dae50c62b4fd19bb987f13e58959aa782ac83458aeb9
|
| 3 |
+
size 144112636
|
README.md
DELETED
|
@@ -1,68 +0,0 @@
|
|
| 1 |
-
---
|
| 2 |
-
library_name: popV
|
| 3 |
-
license: cc-by-4.0
|
| 4 |
-
tags:
|
| 5 |
-
- biology
|
| 6 |
-
- genomics
|
| 7 |
-
- single-cell
|
| 8 |
-
- anndata_version:0.11.3
|
| 9 |
-
- python_version:3.11.11
|
| 10 |
-
- popV
|
| 11 |
-
- 'tissue: diverse'
|
| 12 |
-
---
|
| 13 |
-
|
| 14 |
-
Popular Vote (popV) model for automated cell type annotation of single-cell RNA-seq data. We provide here pretrained models
|
| 15 |
-
for plug-in use in your own analysis.
|
| 16 |
-
Follow our [tutorial](https://github.com/YosefLab/popV/blob/main/tabula_sapiens_tutorial.ipynb) to learn how to use the model for cell type annotation.
|
| 17 |
-
|
| 18 |
-
# Model description
|
| 19 |
-
|
| 20 |
-
Tabula Sapiens is a benchmark, first-draft human cell atlas of over 1.1M cells from 28 organs of 24 normal human subjects. This work is the product of the Tabula Sapiens Consortium. Taking the organs from the same individual controls for genetic background, age, environment, and epigenetic effects, and allows detailed analysis and comparison of cell types that are shared between tissues.
|
| 21 |
-
|
| 22 |
-
**Link to CELLxGENE**:
|
| 23 |
-
Link to the [data](https://cellxgene.cziscience.com/e/5a11f879-d1ef-458a-910c-9b0bdfca5ebf.cxg/) in the CELLxGENE browser for interactive exploration of the data and download of the source data.
|
| 24 |
-
|
| 25 |
-
**Training Code URL**:
|
| 26 |
-
Not provided by uploader.
|
| 27 |
-
|
| 28 |
-
# Metrics
|
| 29 |
-
|
| 30 |
-
We provide here accuracies for each of the experts and the ensemble model. The validation set accuracies are
|
| 31 |
-
computed on a 10% random subset of the data that was not used for training.
|
| 32 |
-
|
| 33 |
-
| Cell Type | N cells | celltypist | knn bbknn | knn harmony | knn on scvi | onclass | scanvi | svm | xgboost | Consensus Prediction |
|
| 34 |
-
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
|
| 35 |
-
| endothelial cell | 3164 | 0.80 | 0.79 | 0.82 | 0.69 | 0.00 | 0.63 | 0.75 | 0.81 | 0.86 |
|
| 36 |
-
| capillary endothelial cell | 1500 | 0.78 | 0.73 | 0.77 | 0.54 | 0.00 | 0.59 | 0.74 | 0.79 | 0.81 |
|
| 37 |
-
| cardiac endothelial cell | 964 | 0.98 | 0.95 | 0.89 | 0.51 | 0.00 | 0.35 | 0.96 | 0.97 | 0.98 |
|
| 38 |
-
| vein endothelial cell | 470 | 0.53 | 0.18 | 0.58 | 0.27 | 0.00 | 0.41 | 0.51 | 0.57 | 0.61 |
|
| 39 |
-
| endothelial cell of artery | 331 | 0.64 | 0.59 | 0.73 | 0.48 | 0.00 | 0.54 | 0.61 | 0.67 | 0.70 |
|
| 40 |
-
| endothelial cell of lymphatic vessel | 254 | 0.70 | 0.64 | 0.70 | 0.60 | 0.00 | 0.61 | 0.70 | 0.74 | 0.74 |
|
| 41 |
-
| retinal blood vessel endothelial cell | 178 | 0.52 | 0.01 | 0.54 | 0.10 | 0.00 | 0.00 | 0.57 | 0.61 | 0.59 |
|
| 42 |
-
| endothelial cell of vascular tree | 75 | 0.57 | 0.03 | 0.38 | 0.58 | 0.00 | 0.55 | 0.53 | 0.65 | 0.72 |
|
| 43 |
-
| colon endothelial cell | 24 | 0.59 | 0.22 | 0.62 | 0.18 | 0.00 | 0.00 | 0.34 | 0.39 | 0.70 |
|
| 44 |
-
| endothelial cell of arteriole | 9 | 0.00 | 0.00 | 0.18 | 0.00 | 0.00 | 0.05 | 0.30 | 0.38 | 0.20 |
|
| 45 |
-
| endothelial cell of venule | 1 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
|
| 46 |
-
|
| 47 |
-
The train accuracies are computed on the training data.
|
| 48 |
-
|
| 49 |
-
| Cell Type | N cells | celltypist | knn bbknn | knn harmony | knn on scvi | onclass | scanvi | svm | xgboost | Consensus Prediction |
|
| 50 |
-
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
|
| 51 |
-
| endothelial cell | 30194 | 0.78 | 0.74 | 0.90 | 0.78 | 0.00 | 0.88 | 0.73 | 0.79 | 0.91 |
|
| 52 |
-
| capillary endothelial cell | 13774 | 0.77 | 0.62 | 0.86 | 0.69 | 0.00 | 0.84 | 0.74 | 0.79 | 0.86 |
|
| 53 |
-
| cardiac endothelial cell | 9113 | 0.97 | 0.88 | 0.91 | 0.69 | 0.00 | 0.97 | 0.95 | 0.96 | 0.99 |
|
| 54 |
-
| vein endothelial cell | 4218 | 0.48 | 0.08 | 0.74 | 0.46 | 0.00 | 0.65 | 0.51 | 0.55 | 0.69 |
|
| 55 |
-
| endothelial cell of artery | 3130 | 0.62 | 0.42 | 0.80 | 0.62 | 0.00 | 0.64 | 0.60 | 0.67 | 0.74 |
|
| 56 |
-
| endothelial cell of lymphatic vessel | 2160 | 0.65 | 0.61 | 0.83 | 0.70 | 0.00 | 0.75 | 0.67 | 0.69 | 0.76 |
|
| 57 |
-
| retinal blood vessel endothelial cell | 1881 | 0.48 | 0.00 | 0.75 | 0.30 | 0.00 | 0.98 | 0.58 | 0.63 | 0.88 |
|
| 58 |
-
| endothelial cell of vascular tree | 786 | 0.52 | 0.00 | 0.74 | 0.65 | 0.00 | 0.79 | 0.56 | 0.64 | 0.75 |
|
| 59 |
-
| colon endothelial cell | 285 | 0.34 | 0.01 | 0.67 | 0.29 | 0.00 | 0.91 | 0.48 | 0.56 | 0.88 |
|
| 60 |
-
| endothelial cell of arteriole | 98 | 0.00 | 0.00 | 0.60 | 0.07 | 0.00 | 0.74 | 0.36 | 0.71 | 0.94 |
|
| 61 |
-
| endothelial cell of venule | 40 | 0.00 | 0.00 | 0.22 | 0.00 | 0.00 | 0.66 | 0.48 | 0.76 | 0.93 |
|
| 62 |
-
|
| 63 |
-
</details>
|
| 64 |
-
|
| 65 |
-
|
| 66 |
-
# References
|
| 67 |
-
|
| 68 |
-
Tabula Sapiens reveals transcription factor expression, senescence effects, and sex-specific features in cell types from 28 human organs and tissues, The Tabula Sapiens Consortium; bioRxiv, doi: https://doi.org/10.1101/2024.12.03.626516
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
accuracies.json
CHANGED
|
@@ -1,4 +1,4 @@
|
|
| 1 |
{
|
| 2 |
-
"query_accuracy": "| Cell Type | N cells | celltypist | knn bbknn | knn harmony | knn on scvi | onclass | scanvi | svm | xgboost | Consensus Prediction |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| endothelial cell |
|
| 3 |
-
"ref_accuracy": "| Cell Type | N cells | celltypist | knn bbknn | knn harmony | knn on scvi | onclass | scanvi | svm | xgboost | Consensus Prediction |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| endothelial cell |
|
| 4 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"query_accuracy": "| Cell Type | N cells | celltypist | knn bbknn | knn harmony | knn on scvi | onclass | scanvi | svm | xgboost | Consensus Prediction |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| endothelial cell | 3145 | 0.82 | 0.79 | 0.83 | 0.68 | 0.00 | 0.63 | 0.72 | 0.79 | 0.85 |\n| capillary endothelial cell | 1486 | 0.79 | 0.74 | 0.80 | 0.58 | 0.00 | 0.55 | 0.72 | 0.77 | 0.81 |\n| cardiac endothelial cell | 998 | 0.98 | 0.97 | 0.90 | 0.54 | 0.00 | 0.03 | 0.97 | 0.96 | 0.99 |\n| vein endothelial cell | 481 | 0.48 | 0.16 | 0.58 | 0.19 | 0.00 | 0.38 | 0.48 | 0.53 | 0.58 |\n| endothelial cell of artery | 357 | 0.65 | 0.60 | 0.73 | 0.52 | 0.00 | 0.51 | 0.60 | 0.66 | 0.72 |\n| endothelial cell of lymphatic vessel | 218 | 0.63 | 0.63 | 0.69 | 0.62 | 0.00 | 0.46 | 0.61 | 0.62 | 0.64 |\n| retinal blood vessel endothelial cell | 177 | 0.55 | 0.01 | 0.52 | 0.05 | 0.00 | 0.02 | 0.58 | 0.62 | 0.54 |\n| endothelial cell of vascular tree | 77 | 0.53 | 0.07 | 0.48 | 0.20 | 0.00 | 0.53 | 0.56 | 0.67 | 0.74 |\n| colon endothelial cell | 23 | 0.24 | 0.07 | 0.50 | 0.08 | 0.00 | 0.14 | 0.30 | 0.39 | 0.47 |\n| endothelial cell of arteriole | 6 | 0.00 | 0.00 | 0.29 | 0.00 | 0.00 | 0.19 | 0.22 | 0.71 | 0.50 |\n| endothelial cell of venule | 2 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.07 | 0.00 | 0.00 |",
|
| 3 |
+
"ref_accuracy": "| Cell Type | N cells | celltypist | knn bbknn | knn harmony | knn on scvi | onclass | scanvi | svm | xgboost | Consensus Prediction |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| endothelial cell | 30189 | 0.81 | 0.80 | 0.87 | 0.71 | 0.00 | 0.89 | 0.73 | 0.79 | 0.90 |\n| capillary endothelial cell | 13791 | 0.80 | 0.74 | 0.82 | 0.62 | 0.00 | 0.84 | 0.74 | 0.79 | 0.85 |\n| cardiac endothelial cell | 9076 | 0.97 | 0.95 | 0.88 | 0.55 | 0.00 | 0.99 | 0.95 | 0.95 | 0.98 |\n| vein endothelial cell | 4201 | 0.49 | 0.21 | 0.66 | 0.30 | 0.00 | 0.66 | 0.51 | 0.55 | 0.69 |\n| endothelial cell of artery | 3110 | 0.63 | 0.60 | 0.75 | 0.54 | 0.00 | 0.68 | 0.62 | 0.68 | 0.74 |\n| endothelial cell of lymphatic vessel | 2194 | 0.65 | 0.67 | 0.78 | 0.66 | 0.00 | 0.74 | 0.65 | 0.68 | 0.75 |\n| retinal blood vessel endothelial cell | 1876 | 0.51 | 0.00 | 0.67 | 0.09 | 0.00 | 0.95 | 0.58 | 0.63 | 0.84 |\n| endothelial cell of vascular tree | 788 | 0.48 | 0.04 | 0.69 | 0.37 | 0.00 | 0.64 | 0.53 | 0.62 | 0.69 |\n| colon endothelial cell | 286 | 0.47 | 0.05 | 0.42 | 0.16 | 0.00 | 0.71 | 0.46 | 0.57 | 0.72 |\n| endothelial cell of arteriole | 109 | 0.00 | 0.00 | 0.36 | 0.00 | 0.00 | 0.59 | 0.41 | 0.76 | 0.88 |\n| endothelial cell of venule | 38 | 0.00 | 0.00 | 0.05 | 0.00 | 0.00 | 0.49 | 0.42 | 0.83 | 0.77 |"
|
| 4 |
}
|
celltypist.pkl
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 345566
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f64da3cac0b033733c81d625e59f117033f1dcd5e7affcd5bb2db3ca2488a3d1
|
| 3 |
size 345566
|
faiss_index.faiss
DELETED
|
File without changes
|
scvi_knn_classifier.joblib → faiss_index.index
RENAMED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:74edb4cdf9701e14ed4a5be3be1dd9b47b3599d8329723d426c4e1d175c0d6d6
|
| 3 |
+
size 13175045
|
harmony_knn_classifier.joblib → harmony_knn_classifier.index
RENAMED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2dce5bd7cf8310ca63207ec7d51cbb60be7c70009af427625926933504219efc
|
| 3 |
+
size 13131645
|
metadata.json
DELETED
|
@@ -1,31 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"popv_version": "0.5.0",
|
| 3 |
-
"anndata_version": "0.11.3",
|
| 4 |
-
"setup_dict": {
|
| 5 |
-
"ref_labels_key": "popv_labels",
|
| 6 |
-
"ref_batch_key": "batch_key",
|
| 7 |
-
"unknown_celltype_label": "unassigned"
|
| 8 |
-
},
|
| 9 |
-
"prediction_keys": [
|
| 10 |
-
"popv_celltypist_prediction",
|
| 11 |
-
"popv_knn_bbknn_prediction",
|
| 12 |
-
"popv_knn_harmony_prediction",
|
| 13 |
-
"popv_knn_on_scvi_prediction",
|
| 14 |
-
"popv_onclass_prediction",
|
| 15 |
-
"popv_scanvi_prediction",
|
| 16 |
-
"popv_svm_prediction",
|
| 17 |
-
"popv_xgboost_prediction"
|
| 18 |
-
],
|
| 19 |
-
"method_kwargs": {},
|
| 20 |
-
"methods": [
|
| 21 |
-
"CELLTYPIST",
|
| 22 |
-
"KNN_BBKNN",
|
| 23 |
-
"KNN_HARMONY",
|
| 24 |
-
"KNN_SCVI",
|
| 25 |
-
"ONCLASS",
|
| 26 |
-
"SCANVI_POPV",
|
| 27 |
-
"Support_Vector",
|
| 28 |
-
"XGboost"
|
| 29 |
-
],
|
| 30 |
-
"cellxgene_url": "https://cellxgene.cziscience.com/e/5a11f879-d1ef-458a-910c-9b0bdfca5ebf.cxg/"
|
| 31 |
-
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
minified_ref_adata.h5ad
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:3bcd04bfd8175f256cda73b2cc027e7786fdd596ed853b0163767dbebe33cd6e
|
| 3 |
-
size 103581507
|
|
|
|
|
|
|
|
|
|
|
|
popv_output/predictions.csv
CHANGED
|
The diff for this file is too large to render.
See raw diff
|
|
|
preprocessing.json
CHANGED
|
The diff for this file is too large to render.
See raw diff
|
|
|
ref_labels.csv
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
scanvi/model.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4464875f5c36c63f3d1cf2e1ac9778c0a61ec2037463c69a7d2609759b19f820
|
| 3 |
+
size 13279413
|
scvi/model.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2e57566cfa1f0f0a57142f7bbbcb965ff1aae7edc5c9c9c6d826765854c47627
|
| 3 |
+
size 12396166
|
svm_classifier_cuml.joblib → scvi_knn_classifier.index
RENAMED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:337e234d8d40122a67512c597f65e70ad32bc627fa6423fbeab86b38f8d2bdfa
|
| 3 |
+
size 5252685
|
svm_classifier.joblib
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:89a0c6f641a81bfb88660e15834ac769ea3f6a6196198698c22cb097cc156def
|
| 3 |
+
size 177884
|
xgboost_classifier.model
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:570d55c32589285dfde79b8bb6be52a1ff9abd3eaaa40aba14c58b3e5e79912e
|
| 3 |
+
size 3497557
|