scglue.models.scglue.SCGLUEModel

class scglue.models.scglue.SCGLUEModel(adatas, vertices, latent_dim=50, h_depth=2, h_dim=256, dropout=0.2, shared_batches=False, random_seed=0)[源代码]

基类：Model

GLUE model for single-cell multi-omics data integration

参数:

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) – 随机种子

方法

`adopt_pretrained_model`	Adopt buffers and parameters from a pretrained model
`compile`	为模型训练做准备
`decode_data`	Decode data
`encode_data`	Compute data (cell) embedding
`encode_graph`	Compute graph (feature) embedding
`fit`	Fit model on given datasets
`freeze_cells`	Freeze cell embeddings
`get_losses`	Compute loss function values
`unfreeze_cells`	Unfreeze cell embeddings
`upgrade`	Upgrade the model if generated by older versions

属性

`ALIGN_BURNIN_PRG`
`GRAPH_BATCHES`
`MAX_EPOCHS_PRG`
`PATIENCE_PRG`
`REDUCE_LR_PATIENCE_PRG`
`logger`