Transfer learning for spatial transcriptomics data and single-cell RNA-seq data.
Project description
stTransfer
Installation
pip install stTransfer
import stTransfer as st
import anndata as ad
sc_adata = ad.read('/home/share/huadjyin/home/zhoutao3/zhoutao3/stTransfer_1/example/data/mouse_testis_sc/preprocess/preprocess.h5ad')
st_adata = ad.read('/home/share/huadjyin/home/zhoutao3/zhoutao3/stTransfer_1/example/data/Mouse_spermatogenesis/processed/Diabetes_Slide-seq_data/Diabetes_1.h5ad')
sc_ann_key = 'celltype'
save_path = '/home/share/huadjyin/home/zhoutao3/zhoutao3/stTransfer_1/example/test/Mouse_spermatogenesis/Diabetes_1'
marker_genes = None
# st.sc_model_train_test(sc_adata, st_adata, sc_ann_key, save_path, marker_genes, finetune_epochs = 200,finutune_pca_dim = 0, gpu = 0) # if cuda
st.sc_model_train_test(sc_adata, st_adata, sc_ann_key, save_path, marker_genes, finetune_epochs = 200,finutune_pca_dim = 0 )
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