metadata
license: cc-by-4.0
library_name: scvi-tools
tags:
- biology
- genomics
- single-cell
- model_cls_name:SCANVI
- scvi_version:1.1.0
- anndata_version:0.10.3
Description
To be added...
Model properties
Many model properties are in the model tags. Some more are listed below.
model_init_params:
{
"n_hidden": 128,
"n_latent": 30,
"n_layers": 2,
"dropout_rate": 0.1,
"dispersion": "gene",
"gene_likelihood": "nb",
"linear_classifier": false,
"encode_covariates": true,
"deeply_inject_covariates": false,
"use_layer_norm": "both",
"use_batch_norm": "none"
}
model_setup_anndata_args:
{
"labels_key": "scanvi_label",
"unlabeled_category": "unlabeled",
"layer": null,
"batch_key": "dataset",
"size_factor_key": null,
"categorical_covariate_keys": null,
"continuous_covariate_keys": null
}
model_summary_stats:
Summary Stat Key | Value |
---|---|
n_batch | 14 |
n_cells | 584944 |
n_extra_categorical_covs | 0 |
n_extra_continuous_covs | 0 |
n_labels | 29 |
n_latent_qzm | 30 |
n_latent_qzv | 30 |
n_vars | 2000 |
model_data_registry:
Registry Key | scvi-tools Location |
---|---|
X | adata.X |
batch | adata.obs['_scvi_batch'] |
labels | adata.obs['_scvi_labels'] |
latent_qzm | adata.obsm['_scanvi_latent_qzm'] |
latent_qzv | adata.obsm['_scanvi_latent_qzv'] |
minify_type | adata.uns['_scvi_adata_minify_type'] |
observed_lib_size | adata.obs['_scanvi_observed_lib_size'] |
model_parent_module: scvi.model
data_is_minified: True
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: N/A
Training code
This is an optional link to the code used to train the model.
Training code url: N/A
References
To be added...