Datasets ======== Tutorial datasets ----------------- We provided the processed h5ad files used in all tutorials: - fewshot_sample_adt.h5ad: `fewshot_sample_adt `_ - fewshot_sample_rna.h5ad: `fewshot_sample_rna `_ - test_sample_adt.h5ad: `test_sample_adt `_ - test_sample_rna.h5ad: `test_sample_rna `_ - train_sample_adt.h5ad: `train_sample_adt `_ - train_sample_rna.h5ad: `train_sample_rna `_ - valid_sample_adt.h5ad: `valid_sample_adt `_ - valid_sample_rna.h5ad: `valid_sample_rna `_ Public datasets ---------------- We provide links to the original public datasets used in our paper: - BM (CITE-seq): `GSE128639 `_ - BMMC (CITE-seq): `194122 `_ - CBMC (CITE-seq): `GSE10086 `_ - PBMC (REAP-seq): `GSE100501 `_ - Perturb (ECCITE-seq): `GSE15306 `_ - Heart (CITE-seq): `GSE218392 `_ - Spatial (10X Visium): `10X Visium gene-protein expression library of human tonsil `_ Pretrained models ----------------- We provide pretrained scLinguist models: - decoder.ckpt: `Deocder `_ - encoder.ckpt: `Encoder `_ - finetune.ckpt: `Finetuned `_