Sobolev Alignment: aligning deep general models with large-scale kernel machines¶
Sobolev Alignment identifies commonalities between cell lines and tumors at the single cell level using Sobolev Alignment of deep generative models. Using scVI as a backbone for generative models (VAE), latent variable models are approximated by means of large-scale kernel machines, using FalkonML. This allows a systematic appro
Contents:
- sobolev_alignment
- sobolev_alignment package
- Submodules
- sobolev_alignment.SobolevAlignment module
- sobolev_alignment.feature_analysis module
- sobolev_alignment.generate_artificial_sample module
- sobolev_alignment.interpolated_features module
- sobolev_alignment.kernel_operations module
- sobolev_alignment.krr_approx module
- sobolev_alignment.krr_model_selection module
- sobolev_alignment.multi_krr_approx module
- sobolev_alignment.scvi_model_search module
- Module contents