scglue.models.scglue.PairedSCGLUEModel

class scglue.models.scglue.PairedSCGLUEModel(adatas, vertices, latent_dim=50, h_depth=2, h_dim=256, dropout=0.2, disc_norm=False, shared_batches=False, random_seed=0)[source]

Bases: SCGLUEModel

GLUE model for partially-paired single-cell multi-omics data integration

Parameters:

  • adatas (typing.Mapping[str, AnnData]) – Datasets (indexed by modality name)

  • vertices (typing.List[str]) – Guidance graph vertices (must cover feature names in all modalities)

  • latent_dim (int) – Latent dimensionality

  • h_depth (int) – Hidden layer depth for encoder and discriminator

  • h_dim (int) – Hidden layer dimensionality for encoder and discriminator

  • dropout (float) – Dropout rate

  • shared_batches (bool) – Whether the same batches are shared across modalities

  • random_seed (int) – Random seed

Methods

compile

Prepare model for training

Attributes

logger