metadata

license: cc-by-4.0
library_name: scvi-tools
tags:
  - biology
  - genomics
  - single-cell
  - model_cls_name:SCVI
  - scvi_version:1.1.0rc2
  - anndata_version:0.10.4
  - modality:rna
  - annotated:False

Description

scVI model trained on synthetic IID data and uploaded with the minified data.

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": 1,
    "dropout_rate": 0.1,
    "dispersion": "gene",
    "gene_likelihood": "zinb",
    "latent_distribution": "normal"
}

model_setup_anndata_args:

{
    "layer": null,
    "batch_key": null,
    "labels_key": null,
    "size_factor_key": null,
    "categorical_covariate_keys": null,
    "continuous_covariate_keys": null
}

model_summary_stats:

Summary Stat Key	Value
n_batch	1
n_cells	400
n_extra_categorical_covs	0
n_extra_continuous_covs	0
n_labels	1
n_latent_qzm	10
n_latent_qzv	10
n_vars	100

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['_scvi_latent_qzm']
latent_qzv	adata.obsm['_scvi_latent_qzv']
minify_type	adata.uns['_scvi_adata_minify_type']
observed_lib_size	adata.obs['_scvi_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...