Model

Model enable user to easily projecting their own datasets to our Differentiation Atlas and OsteoProgenitor Cells-Specific Trajectory (OPCST) model.

With this module, users are able to:

1. Obtain the latent space of their own datasets.

2. Annotate their datasets with seven-level annotations.

3. Predict differentiation paths from different osteoprogenitor cells (OPCs).

4. Obtain common pseudotime to indicate osteoblast differentiation progression.

model.ProjectData(adata[, modelPath, max_epoch])	Projected query datasets (osteogenesis-related) to scANVI latent space [Xu et al., 2021] which trained with Differentiation Atlas by scArches [Lotfollahi et al., 2022].
model.label_transfer(adata)	Transfer seven-level annotation system and lineage path to adata.
model.pseduo_predict(adata[, modelPath])	Predict common pseudotime.