Description
Mouse scANVI reference model
Model properties
Many model properties are in the model tags. Some more are listed below.
model_init_params:
{
"n_hidden": 128,
"n_latent": 10,
"n_layers": 2,
"dropout_rate": 0.1,
"dispersion": "gene",
"gene_likelihood": "nb",
"linear_classifier": false,
"latent_distribution": "normal"
}
model_setup_anndata_args:
{
"labels_key": "ct",
"unlabeled_category": "Unknown",
"layer": "counts",
"batch_key": "batch",
"size_factor_key": null,
"categorical_covariate_keys": null,
"continuous_covariate_keys": null
}
model_summary_stats:
[1m [0m[1m Summary Stat Key [0m[1m [0m | [1m [0m[1mValue[0m[1m [0m |
---|---|
[94m [0m[94m n_batch [0m[94m [0m | [35m [0m[35m 18 [0m[35m [0m |
[94m [0m[94m n_cells [0m[94m [0m | [35m [0m[35m2004 [0m[35m [0m |
[94m [0m[94mn_extra_categorical_covs[0m[94m [0m | [35m [0m[35m 0 [0m[35m [0m |
[94m [0m[94mn_extra_continuous_covs [0m[94m [0m | [35m [0m[35m 0 [0m[35m [0m |
[94m [0m[94m n_labels [0m[94m [0m | [35m [0m[35m 16 [0m[35m [0m |
[94m [0m[94m n_vars [0m[94m [0m | [35m [0m[35m3000 [0m[35m [0m |
model_data_registry:
[1m [0m[1mRegistry Key[0m[1m [0m | [1m [0m[1m scvi-tools Location [0m[1m [0m |
---|---|
[94m [0m[94m X [0m[94m [0m | [35m [0m[35m adata.layers['counts'] [0m[35m [0m |
[94m [0m[94m batch [0m[94m [0m | [35m [0m[35madata.obs['_scvi_batch'] [0m[35m [0m |
[94m [0m[94m labels [0m[94m [0m | [35m [0m[35madata.obs['_scvi_labels'][0m[35m [0m |
model_parent_module: https://zenodo.org/records/10669600/files/01_mouse_reprocessed.h5ad?download=1
data_is_minified: False
Training data
This is an optional link to where the training data is stored if it is too large to host on the huggingface Model hub.
Training data url: https://github.com/brickmanlab/proks-salehin-et-al
Training code
This is an optional link to the code used to train the model.
Training code url: N/A
References
Proks, Salehin et al., biorXiv