bulktrajblend-trajectory-interpolation

核心说明

• Invoke this skill when users need to bridge gaps in single-cell developmental trajectories ，使用 matched bulk RNA-seq. It follows t_bulktrajblend.ipynb，showcasing how BulkTrajBlend deconvolves PDAC bulk samples，identifies overlapping communities ，支持 GNN，、 interpolates "interrupted" cell states。
• Import omicverse as ov，scanpy as sc，scvelo as scv，、 helper functions like ，面向 omicverse.utils import mde；run ov.plot_set()。
• Load reference scRNA-seq AnnData (scv.数据集s.dentategyrus()) 、 raw bulk counts ，支持 ov.utils.read(...) followed by ov.bulk.Matrix_ID_mapping(...) ，用于 gene ID harmonisation。
• Instantiate ov.bulk2single.BulkTrajBlend(bulk_seq=bulk_df，single_seq=adata，bulk_group=['dg_d_1'，'dg_d_2'，'dg_d_3']，celltype_key='clusters')。
• Explain that bulk_group names correspond to raw bulk columns 、 method expects unscaled counts。